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app.taguette.org

Free and open source qualitative research tool

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What is Taguette?

Taguette is a free, open-source, web-based tool for tagging documents — the core activity in qualitative data analysis. You upload a set of documents, build a hierarchy of tags, and highlight passages, attaching tags and notes you can retrieve and reorganize later. It is aimed at researchers, students and small teams who need to code interviews, field notes, transcripts or open-ended survey responses without buying a commercial qualitative analysis package.

What you actually do with it

  • Upload a corpus — gather your interviews, transcripts or written notes into one project.
  • Build a tag tree — create parent and child tags so themes can be nested rather than kept as a flat list.
  • Code by highlighting — select a portion of text and assign one or more tags, plus a short note explaining your reasoning.
  • Recall and reorganize — pull up everything under a tag, rename or merge tags, and export results when you are done.

Who it suits, and where it stops

Situation Taguette fits well Consider something else
Small to mid-size text project Yes — quick setup, no licence cost —
You want to inspect or host the code Yes — open source, BSD-3-Clause licensed —
Audio, video or image sources No — it works on documents Tools with native media transcription and coding
Mixed-methods statistics No — it is a tagging tool Software that combines stats and coding
Very large teams with strict audit needs Limited Platforms built for multi-coder workflow management

The practical trade-off is simplicity versus depth. Because it runs in a browser and does one job, you can start coding the same day; the cost is that features common in heavyweight packages — automatic transcription, visual coding of media, detailed inter-coder reliability reporting — are not its focus.

A concrete next step

If you have a folder of interview transcripts, register a free account, create one project, and upload three documents as a trial. Build a starter tag tree from your research questions, code only the first two pages of each document, then export and read the result. That short loop tells you whether the tagging model matches how you think before you commit a whole study to it. The project's own guide and user documentation, linked from Taguette, walk through the interface; the source and issue tracker are also public if you want to check activity or self-host.

How do I upload and organize my qualitative documents in Taguette?

Upload your documents to Taguette as a project, then organize them by tagging passages rather than by moving files around. Taguette is an open-source, web-based tool for qualitative data analysis: you upload a collection of documents, build a hierarchy of tags, and annotate portions of documents with tags and notes you can recall and organize later. Registration is free.

The basic workflow

  1. Create a project and upload your documents as a collection.
  2. Read through a document and select the passage you want to mark.
  3. Apply a tag to that selection and add a note if the meaning needs explaining.
  4. Repeat across documents, adding new tags as themes emerge and nesting them under broader ones.
  5. Later, pull up everything under a tag to compare how that theme appears across your whole document set.

The important shift is that the tag hierarchy, not the folder structure, becomes your filing system. A single paragraph can carry several tags, so overlapping themes don't force you to choose one home for a passage.

Organizing tags so the hierarchy stays useful

Start flat and let structure emerge from the data. A common practical approach is a small number of parent tags — for example, Barriers, Motivations, Process — with specific child tags underneath as you notice repeated ideas. Two habits keep this manageable:

  • Write a one-line definition for each tag you create, so you apply it consistently a week later.
  • Use notes for the reasoning behind a tag ("this is about cost, not distance") rather than creating near-duplicate tags.

If you already have a codebook from a previous study, build the tag hierarchy before you start coding; if you're doing exploratory work, expect to rename and merge tags partway through.

Where it fits and where it doesn't

Taguette suits interview transcripts, open-ended survey responses, field notes, and other text-heavy material where the goal is thematic coding and retrieving quotes by theme. It is a lighter option than full CAQDAS packages: if you need mixed-methods statistics, complex inter-coder reliability reporting, or multimedia coding of audio and video, check whether those features exist before committing.

For a concrete case: a graduate student with 20 interview transcripts can create a project, upload the transcripts, code a first interview to draft tags, then work through the rest and export the tagged passages to support the write-up. The trade-off is that you supply the analytical discipline — the tool stores and retrieves your coding, it doesn't generate themes for you.

Next step: read the official guide at Taguette to confirm the exact upload and export steps for the current version, then run a short pilot on two documents to test your tag hierarchy before coding the full set.

Can I use Taguette for collaborative coding of interview transcripts?

Yes. Taguette is built for exactly this kind of work: it is a web-based tool where you upload a set of documents, build a hierarchy of tags, and highlight passages in those documents, attaching tags and notes you can retrieve later. Interview transcripts are a natural fit, since the core workflow is marking up text segments and organizing them under a shared coding scheme.

For a team, the practical question is how collaboration is set up. Taguette supports projects with multiple members, so a typical arrangement is one project per study, with each coder working through the same transcript set and applying the same tag hierarchy. Because tags are stored as a shared structure rather than free-form comments, you can compare where two coders applied the same tag and where they diverged — the basis for a coding comparison or consensus discussion.

Taguette

H3 Practical setup for a coding team

  • Agree on a codebook before coding starts, and treat the tag hierarchy as the codebook. Renaming or merging tags later is possible, but it is easier to settle the top-level structure first.
  • Decide whether everyone codes every transcript or whether you split the set and double-code a sample for reliability checks.
  • Use notes on tagged excerpts for analytic memos, disagreements or edge cases, so reasoning survives beyond the highlight itself.
  • Keep a shared convention for how you handle overlapping codes on the same passage.

H3 Trade-offs to weigh

Taguette is deliberately lightweight: it is about tagging and retrieving text, not about building complex mixed-methods models or running statistical reliability calculations for you. If your project needs heavy quantitative inter-coder metrics, survey integration or advanced visualization, you may end up exporting tagged excerpts into another tool. If your priority is a low-friction, transparent coding environment that a small team can pick up quickly, the simplicity works in your favor.

A useful next step: run a pilot on two transcripts with two coders, compare tagged excerpts side by side, and refine the codebook before committing the full dataset. If the tag hierarchy holds up at that scale, the rest of the coding will go faster.

Is Taguette suitable for academic research or thesis projects?

Yes. Taguette is well suited to academic research and thesis projects, especially qualitative studies where you need to tag text passages and organize them by theme. The site describes it as an open-source, web-based document tagging tool for qualitative data analysis: you upload a collection of documents, build a hierarchy of tags, and annotate passages with tags and notes you can recall and organize later. That workflow maps directly onto the coding and theme-building steps of an interview study, a document analysis, or a literature review.

Where it fits in a thesis workflow

  • Coding interview transcripts, field notes or open-ended survey responses
  • Building a codebook as a tag hierarchy, then refining it as themes emerge
  • Pulling tagged excerpts back together to write up findings
  • Working on a small team where a supervisor or co-coder needs to see the same tagged documents

Practical trade-offs

Strength Limitation to plan around
Free and open source, so no budget line and no lock-in Fewer built-in analysis features than commercial CAQDAS packages
Web-based, so you can code from different machines You depend on a browser and, in many setups, a network connection
Tag hierarchies plus notes keep coding decisions visible Heavy statistical or mixed-methods analysis is outside its scope
Runs under a permissive BSD-3-Clause license You or your institution handle setup, hosting and backups

For a master's or PhD project, the deciding factor is usually the type of analysis. If your method is thematic analysis, framework analysis or basic content coding of text, Taguette covers the core loop. If your methodology requires advanced visualization, statistical integration or strict audit trails demanded by a specific journal or funder, check those requirements before committing.

A concrete next step

Take three de-identified transcripts, upload them, and build a starter hierarchy of five to eight tags. If you can code a full transcript and retrieve your excerpts in a form you would be willing to quote in a draft chapter, it will carry you through a thesis. If you find yourself wanting features it does not offer, that is the moment to compare alternatives. For general orientation on tools in this space, see Taguette for the project itself and QDR if you need a home for sharing qualitative data alongside your thesis.

How does Taguette compare to other qualitative data analysis software like NVivo or Dedoose?

Taguette sits at the lightweight, free end of the qualitative data analysis (QDA) spectrum, while NVivo and Dedoose are commercial suites built for larger, more structured projects. Taguette's own description is narrow and clear: it is an open-source, web-based tool for uploading documents, building a hierarchy of tags, and annotating passages with tags and notes you can retrieve and reorganize later. That is essentially the core coding workflow, without the extra analytical, visualization and team-management layers that commercial packages tend to bundle in.

H3 Where each one fits

  • Taguette: best when you want to code text documents, keep a transparent tag structure, and avoid licensing costs or a heavy learning curve. Suited to students, solo researchers, small projects, and anyone who wants to read and tag rather than run statistical-style analyses.
  • NVivo: aimed at researchers who need deep querying, matrix comparisons, mixed-methods data, and detailed reporting across many source types. The cost is licensing and time spent learning the interface.
  • Dedoose: oriented toward team-based projects, particularly mixed-methods work with coding, excerpting and collaborative review across a shared workspace.

H3 Practical trade-offs

Dimension Taguette NVivo / Dedoose
Cost model Free and open source Commercial licensing
Setup Web-based, minimal onboarding More configuration and training
Core coding Upload documents, tag passages, add notes Same, plus query and visualization tools
Team features Basic Stronger collaboration and audit features
Best for Small to medium text-focused studies Large, multi-researcher or mixed-methods projects

A concrete scenario: a master's student coding 20 interview transcripts for themes can upload them to Taguette, build a tag tree, and export or review coded excerpts without paying for a seat. A research team coordinating five coders, tracking inter-coder agreement and combining survey data would likely find the commercial tools' collaboration and query features worth the cost.

Next step: list what your project actually requires — number of documents, number of coders, whether you need quantitative or mixed-methods analysis, and whether you must share a workspace. If your needs stop at tagging and retrieving text passages, start with Taguette; if they extend into querying, team workflows or mixed data, evaluate the commercial options against that list.

What are the system requirements and installation options for self-hosting Taguette?

Self-hosting Taguette means running a small web application on your own server so that you and your collaborators can reach it through a browser. The requirements are modest: a machine that can run the Taguette server, a way to serve it over HTTP(S), and enough storage for your documents and the database that holds tags and notes. Because it is a web-based tool, the people doing the analysis only need a modern browser—they do not install anything on their own computers.

Taguette is distributed as free and open-source software under a BSD-3-Clause license, so you are free to inspect, modify and deploy it yourself. The project publishes user documentation and accepts issue reports via GitLab or email, which is where you should check for the current, authoritative installation steps and version-specific notes.

Installation options in practice

  • Run it directly on a server or VM. Install the application and its dependencies, point it at a database, and put a reverse proxy in front for TLS. This suits a lab or department with an existing server.
  • Container-based deployment. If the project provides an official container image, this is usually the least fiddly route: pull the image, mount persistent storage, set the connection details, and start it. Check the documentation for whether an official image exists rather than assuming one does.
  • Local or single-user instance. You can run it on your own laptop or a small always-on machine for a solo project, which avoids exposing anything to the internet.

Choosing between them

Situation Better fit
One researcher, one project Local install or a small VM
A team sharing tags and documents Server or container behind a reverse proxy
You want reproducible, upgradeable deployments Container, if officially supported
Restricted data that cannot leave your network Self-hosted instance on internal infrastructure

Practical next step

Before committing, confirm three things in the official documentation: the supported runtime and database, whether an official container image is published, and the backup procedure for your database and uploaded files. Then do a trial run with a throwaway project—upload a few documents, tag them, restart the server, and verify that your tags and notes survive. That single test will tell you more about whether the setup suits your workflow than any feature list.

For the authoritative install instructions, start at Taguette and follow the link to the user documentation.

Related questions

More questions →
What Are Open-Source UI Element Libraries and How Do They Differ From UI Frameworks?

An open-source UI element library is a collection of individual, ready-made interface pieces—buttons, cards, inputs, toggles, loaders—that you copy into your own project and adapt. A UI framework, by contrast, is a structured system of components, conventions, and often a theming layer that governs how your whole interface is built. The practical difference: an element library gives you a snippet; a framework gives you a way of working. If you need a polished button in ten minutes, reach for the element library. If you're building a 40-screen product with a team, you probably want the framework.

What "open-source UI element library" actually means

The term gets used loosely, so it helps to separate the parts:

  • Open-source: the code is publicly available, and the license tells you what you may do with it—copy, modify, redistribute, or use commercially.
  • UI element: a single, self-contained piece of interface, usually small enough to read in one sitting. A button with hover states, a pricing card, a search field.
  • Library: a browsable, searchable collection of those elements, typically contributed by many different people.

On a site like Uiverse, elements are shared by a community and written in plain CSS or Tailwind. You find one you like, copy the markup and styles, paste them into your project, and adjust colors, spacing, and text to fit. There's no package to install and no build step required—which is exactly the appeal, and also the source of most of the confusion.

Element library vs. UI framework: the core differences

Dimension Open-source UI element library UI framework / design system
Unit of reuse A single snippet you copy A component you import or call
Installation None; paste into your code Package install, config, sometimes a provider
Consistency Depends on you; each element may look different Enforced by shared tokens and APIs
Theming Manual edits per element Central theme/config file
Updates You own the copy; no upstream updates Version bumps bring fixes and changes
Accessibility Varies per contributor; must be checked Usually tested and documented
Best for Prototypes, landing pages, small sites, one-off needs Multi-page apps, teams, long-lived products
Learning curve Low—read the CSS Higher—learn the API and conventions

The table isn't a verdict. It's a map of trade-offs. Element libraries win on speed and freedom; frameworks win on consistency and maintenance.

Licensing and attribution: what to check before you paste

This is where people get into trouble, and it's worth slowing down for.

  1. Find the license. Every element or collection should state one. Common open-source licenses include MIT, Apache-2.0, and BSD. Some projects use copyleft licenses like GPL, which can impose obligations if you redistribute your code.
  2. Understand what the license permits. MIT and Apache-2.0 are permissive: you can typically use the code in commercial and closed-source projects. Copyleft licenses may require you to release derivative source under the same terms.
  3. Check attribution requirements. Permissive licenses usually require you to keep the copyright notice and license text somewhere in your project. That's a real obligation, not a formality.
  4. Look for per-element terms. On community sites, the site's overall terms and the individual contributor's stated wishes may differ. If a contributor asks for credit, honor it.
  5. When in doubt, ask or avoid. If a snippet has no license at all, you don't have clear permission to reuse it. Treat "no license" as "not open source," even if the code is publicly visible.

This article is general information, not legal advice. For commercial products with real exposure, have someone qualified review the licenses you're relying on.

How to use a community element in your project: a practical workflow

Here's a repeatable process that avoids most of the usual mess.

1. Start from a real need, not a browsing session

Decide what you need first—"a compact primary button with a loading state"—then search. Browsing aimlessly produces a pile of pretty snippets that don't fit together.

2. Copy the smallest version that works

Take the markup and the styles. Strip anything you don't need: demo wrappers, extra animations, decorative layers. Less code means fewer surprises.

3. Convert it to your conventions

If your project uses design tokens or CSS variables, replace hard-coded values:

/* Before: hard-coded */
.button { background: #4f46e5; border-radius: 8px; }

/* After: token-based */
.button { background: var(--color-primary); border-radius: var(--radius-md); }

This one step is what keeps a copied element from looking like a foreign object in your UI.

4. Check accessibility before you ship

Community elements vary widely here. Verify at minimum:

  • Keyboard focus is visible and the element is reachable by Tab.
  • Color contrast meets WCAG AA (4.5:1 for normal text).
  • Interactive elements use semantic HTML (<button>, not a clickable <div>).
  • Form inputs have associated labels.
  • Motion respects prefers-reduced-motion.

5. Test in context

Paste it into a real page with real content. Long labels, small screens, and dark mode break more copied elements than anything else.

6. Note where it came from

Keep a short comment or an internal credits file: source, license, date. Future you—and your legal reviewer—will be grateful.

Where element libraries genuinely shine

  • Prototypes and demos: you need something clickable today, not a design system.
  • Landing pages and marketing sites: a handful of distinctive elements, each custom.
  • Filling gaps: your framework lacks one specific component, and you don't want to build it from scratch.
  • Learning: reading well-made CSS is one of the fastest ways to improve.
  • Small projects: a personal site doesn't need a theming architecture.

Where they fall short

  • Consistency at scale: ten elements from ten contributors rarely look like one product.
  • Maintenance: you own every copy. When your design changes, you edit each one.
  • Accessibility debt: you inherit whatever the contributor did or didn't do.
  • No upstream fixes: a bug fixed in the original won't reach your copy.
  • Integration friction: different naming conventions, different units, different assumptions about resets.

When to choose which

Choose an element library when the scope is small, the timeline is short, or you need a few distinctive pieces rather than a whole system.

Choose a framework or design system when multiple people build multiple screens over months, when consistency is a product requirement, or when accessibility and theming need to be guaranteed rather than checked.

A hybrid works well for many teams: adopt a framework for the structural components—forms, navigation, layout—and borrow individual elements for the places where you want personality. Just route every borrowed element through the same token and accessibility checks, so it lands as part of your system rather than beside it.

The short version: open-source UI element libraries are a fast, flexible way to get good-looking interface pieces into a project. They are not a substitute for a design system, and the license and accessibility details are the part worth reading carefully.

How Do You Get Started with Taguette?

Taguette is an open-source, web-based tool for tagging documents in qualitative data analysis. To get started, register for a free account at app.taguette.org, then upload your documents, build a tag hierarchy, and annotate passages with tags and notes. The site also provides a login link for returning users and a separate Taguette Guide for documentation.

What You Can Do with Taguette

According to the site, Taguette lets you:

  • Upload a collection of documents
  • Create a hierarchy of tags
  • Annotate portions of documents with tags and notes
  • Recall and organize those annotations later

This makes it a fit for qualitative research tasks where you need to code text across many files and revisit your coding decisions.

Getting Started: The Basic Path

  1. Register — The homepage offers a free registration entry point ("Register now for free and get started!").
  2. Log in — If you already have an account, use the Log in link on the same page.
  3. Read the guide — The Taguette Guide link on the homepage leads to user documentation covering how the tool works.
  4. Upload and tag — Once inside, upload your documents, define your tag hierarchy, and start annotating.

The exact menu locations and in-app steps are not described on the homepage itself; the Taguette Guide is the place to check for those details.

Licensing and Feedback

Taguette 1.5.2-3-gf706e2e is released under the BSD-3-Clause license, © Rémi Rampin and Taguette contributors. Issues can be reported via GitLab or by emailing [email protected].

Quick Reference

Need Where to go
Create an account Register link on app.taguette.org
Return to your work Log in link on app.taguette.org
Learn how to use it Taguette Guide
Report a problem GitLab or [email protected]
What Can You Do With Taguette for Qualitative Data Analysis?

Taguette is an open-source, web-based tool for tagging documents in qualitative data analysis. According to its homepage, you can upload a collection of documents, build a hierarchy of tags, annotate portions of those documents with tags and notes, and later recall and organize those annotations. It is released under a BSD-3-Clause license, and the site invites you to register for free to get started.

The Core Workflow

Taguette's homepage describes four capabilities that map onto a typical qualitative coding cycle:

  1. Upload a collection of documents — your source material becomes the corpus you analyze.
  2. Create a hierarchy of tags — this is your codebook, organized as parent and child tags rather than a flat list.
  3. Annotate portions of documents — you select a span of text and attach one or more tags, plus notes.
  4. Recall and organize annotations later — tagged excerpts can be retrieved and arranged after the initial pass.

The important detail is that tagging happens on portions of documents, not whole files. That makes it a close fit for line-by-line or paragraph-level coding of interviews, field notes, or open-ended survey responses.

What Each Capability Is Good For

Uploading documents

If your analysis starts from a folder of transcripts or notes, Taguette lets you work from that collection directly in the browser instead of juggling separate files. The homepage does not specify supported file formats, so check the user documentation before assuming a particular format will import cleanly.

Building a tag hierarchy

A hierarchy matters when your coding scheme has structure — for example, a parent tag like "motivation" with child tags for "intrinsic" and "extrinsic." Because the homepage describes tags as hierarchical rather than flat, you can revise the structure as themes emerge instead of committing to a fixed list up front.

Annotating with tags and notes

Attaching a note alongside a tag lets you record why you applied a code, not just that you did. This is the difference between a bare code and an analytic memo, and it is useful when you return to the data weeks later.

Recalling and organizing annotations

The value of coding accumulates only if you can pull tagged excerpts back together. Taguette's stated ability to recall and organize annotations is what turns individual marks into something you can compare across documents.

Who This Fits

Taguette suits researchers who want a lightweight, browser-based coding tool and are comfortable with an open-source project. The homepage presents it as free to register and use, and the BSD-3-Clause license means the source is openly licensed.

It is less suited to work that depends on features the homepage does not mention — for instance, statistical analysis, automatic coding, or team permission controls. If those matter to you, verify them in the user documentation before committing.

Getting Started

The homepage points to three entry points: a Guide, a Log in option, and a Register now for free prompt. The practical path is to register, then read the guide before uploading your first corpus, so you understand how tags and documents relate before you build a codebook you have to restructure later.

For issues or questions, the site directs users to GitLab or [email protected]. The current release listed is Taguette 1.5.2-3-gf706e2e.

Is Taguette Free and Open Source?

Yes. Taguette is described on its own site as a "free and open source qualitative research tool," and the welcome page invites you to "Register now for free and get started." It is released under the BSD-3-Clause license, with copyright held by Rémi Rampin and Taguette contributors. So both halves of the question check out: no payment is required to register, and the source code carries a permissive open-source license.

What the site actually states

The evidence comes directly from the Taguette welcome page:

Claim What the page says
Cost "Register now for free and get started!"
Open source Described as a "Free and open source qualitative research tool"
License "Taguette 1.5.2-3-gf706e2e is released under a BSD-3-Clause license"
Copyright "© Rémi Rampin and Taguette contributors"
Support/contact User Documentation; issues via GitLab or [email protected]

Note the version string: 1.5.2-3-gf706e2e. That is the specific release the license statement is attached to, so if you need to cite a version, use that one rather than a generic "latest."

What "free" covers here

The page supports free registration and free use of the web tool. It does not mention paid tiers, seat limits, storage caps, or premium features, so you should not assume any of those exist — but you also should not assume the opposite. The only pricing signal available is the word "free" attached to registration.

What BSD-3-Clause means for you

BSD-3-Clause is a permissive license. In general terms, it allows use, modification, and redistribution, including in closed products, provided the copyright notice and license text are retained and the names of the copyright holders are not used to endorse derived products without permission. That third clause — the "no endorsement" clause — is what distinguishes it from the two-clause BSD variant.

For a qualitative researcher, the practical upshot is that the license is unlikely to restrict how you use Taguette for your own analysis. For someone wanting to fork or embed it, the obligations are light: keep the notice, don't imply endorsement.

How to verify the details yourself

  1. Open the Taguette site and check the welcome page for the current version and license line.
  2. Follow the "User Documentation" link for usage guidance.
  3. For the authoritative license text and source, go to the GitLab repository referenced on the page.
  4. For questions or issue reports, the page lists [email protected] and GitLab as contact routes.

Common points of confusion

  • "Free" vs. "open source" are separate claims. A tool can be one without the other. Taguette's page asserts both, which is why the answer is a clean yes.
  • The license applies to the software, not your data. Nothing on the page speaks to ownership or handling of the documents you upload, so don't read the BSD-3-Clause statement as a data policy.
  • Version-specific licensing. The license line names a particular build. If you are relying on license terms for a redistribution decision, confirm against the repository for the version you actually use.
What is Taguette?

Taguette is a free, open-source, web-based tool for tagging documents and analyzing qualitative data. It fits researchers and teams who need to upload a set of documents, build a hierarchy of tags, and annotate passages with tags and notes they can retrieve and reorganize later. If your work involves reading interviews, field notes, or other text sources and marking them up by theme, Taguette is built for that task.

What Taguette does

The core workflow described by the project is straightforward:

  • Upload a collection of documents — your source material lives inside the tool.
  • Create a hierarchy of tags — tags can be nested, so broad themes can contain sub-themes.
  • Annotate portions of documents — highlight a passage and attach one or more tags, plus notes.
  • Recall and organize later — tagged excerpts and notes can be pulled back up for review and restructuring.

That combination — document set, tag tree, passage-level annotation, and retrievable notes — is what makes it a qualitative data analysis tool rather than a plain text editor or note app.

Who it is for

Taguette suits situations where the analysis is interpretive and passage-based, for example:

  • Coding interview transcripts by theme.
  • Marking up open-ended survey responses.
  • Tagging field notes or diary entries across multiple participants.
  • Collaborative projects where several people need to apply a shared tag scheme.

Because it is web-based, the practical requirement is a browser and access to the instance you use. The project offers a hosted registration path and is also open source, so it can be self-hosted by those who need their data to stay on their own infrastructure.

Key facts

Aspect Detail
Purpose Document tagging for qualitative data analysis
Access Web-based
Cost Free to register per the project site
License BSD-3-Clause
Current release noted 1.5.2-3-gf706e2e
Maintainers Rémi Rampin and Taguette contributors
Support channels User documentation, GitLab issue tracker, [email protected]

What to check before committing

  • Hosting and data location. Decide whether the hosted option or a self-hosted instance matches your data-handling requirements; the open-source license makes self-hosting possible.
  • Your analysis style. Taguette centers on tagging text passages. If your method depends on heavy statistical coding, multimedia annotation, or complex querying, confirm those needs are covered before adopting it.
  • Collaboration needs. Since tags and notes are meant to be shared and reorganized, check how your team would divide coding work and reconcile tag schemes.

To get started, register on the project site, upload your documents, and begin building your tag hierarchy.

Website Overview

Identifiable technologies and additional version or configuration signals make the service easier to fingerprint, which may help targeted scanners narrow their checks. An established domain and managed infrastructure suggest continuity of operations and may support dependable delivery, although neither guarantees service quality.

Domain and Registration

Registered in 2019, this domain has about 7 years of history. That suggests continuity, although ownership and purpose may have changed. Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The registrar is Cloudflare, Inc., a widely used domain service provider. The domain uses the common .org extension, which is not an independent safety signal.

DNS and Email

Nameservers are provided by Cloudflare, indicating managed DNS hosting. MX records point to the Cloudflare Email Routing email service. SPF and DMARC are configured. DKIM status is unknown. TXT records include verification markers for Google. Such markers may also remain after a service stops being used. DNSSEC signatures were not detected, so this additional DNS authenticity protection is not confirmed.

TLS and Certificates

The certificate uses an RSA 2048-bit public key, offering broad client compatibility. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued by Let's Encrypt, commonly associated with automated certificate services. The certificate's total validity is about 89 days, consistent with a short renewal cycle.

HTTP and Browser Security

The Server header exposes the software version: nginx/1.18.0 (Ubuntu). This makes version-targeted checks easier, but is not proof of an exploitable vulnerability. The response lacks these common security headers: X-Content-Type-Options, Referrer-Policy, Permissions-Policy. No X-Powered-By header was found, reducing one common source of backend fingerprinting information. No obvious internal addresses or debug information were found in the headers. No explicit CDN or WAF marker was found in the response headers.

Technology Stack Analysis

The public page identifies Bootstrap, nginx 1.18.0, with exact versions exposed for 1 technologies. These details can narrow vulnerability checks, although exposure alone is not a vulnerability.

Search and Social Sharing

No homepage canonical URL was detected. If duplicate URLs exist, consolidation may be less explicit. No Open Graph metadata was detected, so social previews may depend on platform inference. The title has 18 characters, within a common display range. A meta description is present, with 46 characters. The observed directives allow indexing and link following.

Hosting and Email

DNSCloudflare
Hostingremram.fr
EmailCloudflare Email Routing
Approximate IP geolocation (inferred; a CDN or proxy may differ from the origin server) Germany flagFalkenstein, Saxony, Germany Inferred 88.99.236.202

Registration details

RDAP / WHOIS

RegistrarCloudflare, Inc.
Registered2019-03-05
Expires2027-03-05
Domain statusclient transfer prohibited
Nameservershazel.ns.cloudflare.com、kianchau.ns.cloudflare.com
DNSSECunsigned

DNS records

DNS

TypeNameValueTTLPriority
Ahet.remram.fr88.99.236.202300—
AAAAhet.remram.fr2a01:4f8:10a:1ee5::1300—
MXtaguette.orgroute1.mx.cloudflare.net30017
MXtaguette.orgroute3.mx.cloudflare.net30017
MXtaguette.orgroute2.mx.cloudflare.net30051
NStaguette.orghazel.ns.cloudflare.com86400—
NStaguette.orgkianchau.ns.cloudflare.com86400—
TXTtaguette.orggoogle-site-verification=y9_f5xVwFIfyc3KGdC-5F3ofIV3FgcoOcJU1LOIDA6w300—
TXTtaguette.orgv=spf1 include:_spf.mx.cloudflare.net ~all300—
CNAMEapp.taguette.orghet.remram.fr300—
DMARC_dmarc.taguette.orgv=DMARC1; p=none300—

TLS and certificates

TLS / SSL

AssessmentNormal configuration
Supported protocolsTLSv1.2、TLSv1.3
Negotiated protocolTLSv1.3
Certificate subjectapp.taguette.org
IssuerLet's Encrypt
Valid until2026-11-12T09:43 · Remaining when checked: 39 days
Verification detailsCertificate trust: Passed · Hostname match: Passed

HTTP response headers

HTTP

HeaderValue
content-typetext/html; charset=UTF-8
servernginx/1.18.0 (Ubuntu)
strict-transport-securitymax-age=31536000; includeSubDomains
content-security-policyframe-ancestors 'none';
x-frame-optionsDENY, DENY

Identified technologies

Bootstrapnginx 1.18.0

Pages, Search and Sharing

Meta descriptionFree and open source qualitative research tool
Canonical URLNot detected
LanguageEnglish (default)
Twitter CardNot detected

Unknown

All bots 0 allowed · 1 disallowed
  • Disallow/project/

No sitemaps found

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