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awexplor.github.io

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Category: Development
Language: English
Paid-content signal: No paid content foundObserved
Registered: 2013
Hosting: FastlyInferred
HTTPS certificate trusted: PassedObserved
Last updated: 2026-10-02 06:05

Website review

This review may include AI-generated content and is not individually verified. Domain, certificate and other facts come from the observed data on this page.

What is Awesome Explorer?

Awesome Explorer is a web-based browser for GitHub “awesome lists.” Instead of scrolling through a long README of project names and links, it presents repositories as cards with details such as popularity, maintenance status, and whether they are archived. The site organizes lists by topic and language, so you can jump straight to areas like Rust, Go, Python, JavaScript, iOS, self-hosted tools, or machine learning.

Its main practical value is filtering and sorting. You can narrow an awesome list to popular projects, well-maintained projects, or exclude archived repositories, and the site notes that these filters are customizable. It also integrates package registries such as crates.io and npmjs.com, which can help you check whether a library is available in your ecosystem before opening its repository. A “I’m Feeling Lucky” option offers a random discovery route when you do not have a specific tool in mind.

Who it is for

Developers looking for a library or tool in a specific language or domain.
People who want a quick maintenance and popularity signal before committing to a dependency.
Anyone who finds raw awesome-list READMEs too long or hard to scan.

Trade-offs to keep in mind

It is a discovery layer over existing awesome lists, not a guarantee that every project is production-ready.
Popularity and maintenance filters are useful shortcuts, but they can miss newer or niche projects.
The package registry integration is marked as in progress, so coverage may vary by ecosystem.

A useful next step is to pick your language or topic, apply the “well maintained” and “exclude archived” filters, then open the card details for two or three candidates. Compare their last activity and package availability before choosing one. Related directories such as GitHub or npm can help you verify release history, while Libraries.io is another option for dependency and maintenance signals across ecosystems.

How do I find the best GitHub repository for a specific programming language or topic?

Use Awesome Explorer as a discovery layer: it browses curated "awesome lists" of GitHub repositories by topic or language, then shows each project's key details in a card so you can shortlist without opening every repo. That is the page's stated purpose — explore awesome lists of the best GitHub repositories across topics, with sortable and filterable results.

A practical workflow

Pick the language or topic tile (the page lists Rust, Go, JavaScript, NodeJS, Ruby, Elixir, Kotlin, Scala, Python, C++, Vue, TinyJS, Zig, TensorFlow, NeoVim, TailwindCSS, iOS, Swift, macOS, Selfhosted, Awesome, MachineLearning, Java, Flutter, Xamarin, .NET, Laravel, Shell).
Sort or filter for what matters to you. The page advertises filters for popular projects, well-maintained projects, and archived repositories; it also says the popular and well-maintained filters are customizable.
Read the card before clicking through. The card is meant to surface rich detail rather than just a name and link, so you can judge fit, activity and packaging at a glance.
Use aggregated mode when related topics are grouped on one page, and full-text search when you already have a keyword in mind.

What the page actually offers

Sortable and filterable views of awesome lists
Flags for popular projects, well-maintained projects, and archived repositories
Detail-rich cards instead of bare links
Integrated package registry information (crates.io, npmjs.com) — marked as in progress
Trending repository discovery — also marked as in progress
Aggregated topic grouping and MiniSearch-based full-text search

Trade-offs to weigh

Approach	Strength	Weakness
Awesome Explorer	Curated lists, filterable by maintenance status, details on the card	Covers only topics that have awesome lists; some features are still in progress
Direct GitHub search	Broadest coverage, live star and commit data	No curation; you filter noise yourself
Package registries	Best signal for installs, versions and dependencies	Weak on project health and community fit

Decision criteria

If you need a starting shortlist fast, filter by "well maintained" and skip archived entries.
If you need a library you will depend on, cross-check the card against the package registry and the repository's own release history.
If you are exploring an unfamiliar ecosystem, aggregated mode plus full-text search beats scrolling a single list.

A concrete example: if you are choosing an HTTP client for a new Go service, open the Go topic, filter out archived projects, scan the cards for maintenance signals, then verify the leading candidates on their registry pages before committing.

Next step: start with the language tile closest to your task, apply one maintenance filter, and shortlist three repositories before opening any of them. Awesome Explorer

How does Awesome Explorer help me decide between two similar tools or libraries?

Awesome Explorer helps you compare two similar tools mainly by putting their key details side by side in one card, so you don't have to open each GitHub repository separately. Its stated design goal is "rich detail rather than just a name with link," with essential information shown directly on the card. That makes a first-pass comparison faster: you can scan maintenance signals and popularity without tab-switching.

What you can compare at a glance

Popularity — the list supports a "popular projects" filter, useful when you want the option with a larger user base.
Maintenance status — a "well maintained projects" filter helps you avoid picking something that looks good but has gone quiet.
Archived vs. active — archived repositories are flagged, which is often the deciding factor between two otherwise similar libraries.
Topic grouping — an aggregated mode groups related topics on a single page, so sibling tools in the same language or ecosystem appear together.

A practical comparison workflow

Pick the language or topic category (for example Rust, Python, or JavaScript) to narrow the field.
Apply the popular and well-maintained filters to remove weak candidates.
Use the full-text search to jump to the specific tool names you're weighing.
Read the card details for each, then open only the two or three repositories that still look viable.

How to actually decide

If your priority is...	Lean toward...
Stability and community support	The more popular, actively maintained option
Long-term project health	The non-archived option with recent activity
Staying in one ecosystem	The tool grouped under your existing language/topic
Avoiding abandoned dependencies	Anything not marked archived

The trade-off is that card-level details are a screening tool, not a full evaluation. Two libraries can look equally healthy on a card while differing in API design, licensing, or bundle size — those still require opening the repositories. Treat Awesome Explorer as the shortlisting step, then read the actual docs for your final pick.

A useful next step: run your two candidates through the well-maintained filter first, and if only one survives, your decision is often already made. For broader discovery beyond this explorer, GitHub hosts the underlying awesome lists, and npm or crates.io can confirm current release activity for JavaScript and Rust packages respectively.

Can I filter Awesome Explorer's lists to show only actively maintained projects and hide archived ones?

Yes. Awesome Explorer is built around exactly that kind of filtering: its lists are described as sortable and filterable, and it highlights popular projects and well-maintained projects while treating archived repositories as a separate category. So you can narrow a topic list down to projects that are still active and keep archived ones out of view.

What this looks like in practice

Maintenance filters: The site advertises filters for popular and well-maintained projects, so you can screen out dormant or abandoned entries.
Archived handling: Archived repositories are called out as their own group, which means they can be excluded rather than blended into the main results.
Customizable filters: A January 2025 update notes that the popular and well-maintained filters can be tailored to your own needs, so the definition of "active" isn't necessarily fixed.
Sorting: Lists are sortable as well as filterable, so you can order results after narrowing them.

A concrete scenario

Suppose you're choosing an HTTP client for a new Go service. Open the Golang list, apply the well-maintained filter, and hide archived entries. You're left with candidates that are plausibly still receiving attention, and each card already carries enough detail that you don't have to open every repository just to check its status or basics.

Trade-offs to keep in mind

Filtering by maintenance is a starting point, not a verdict. A project can be well maintained but a poor fit for your license, dependency weight or team skills, and a temporarily quiet project isn't automatically dead. Use the filter to shrink the list, then judge fit yourself.

Next step

Open a topic relevant to your stack — Rust, Python, Go, JavaScript and others are listed — apply the well-maintained filter, exclude archived repositories, and sort the remainder. If the default "well-maintained" cutoff feels too strict or too loose, adjust it with the customizable filter settings.

What details about each repository does Awesome Explorer show without opening the repo page?

Awesome Explorer puts a repository's summary card in front of you so you can judge it without leaving the list. According to the site's own description, cards show "rich detail rather than just a name with link," with "all the essential information" displayed in the card so you don't have to open every interesting repository.

The page evidence names these card-level signals:

Popularity — projects flagged as popular.
Maintenance status — projects flagged as well maintained.
Archived status — archived repositories are marked, so you can skip dead projects.
Topic/ecosystem — lists are grouped by language or theme (Rust, Go, Python, JavaScript, iOS, MachineLearning, Selfhosted, and others), and an aggregated mode groups related topics on one page.
Package registry links — crates.io and npmjs.com integration is described as in progress (labeled 🚧), so treat it as a developing feature rather than a guaranteed card element.

It also offers sortable and filterable views, plus a customizable filter for "popular" and "well maintained," and full-text search via MiniSearch. A "What's new" note from January 2025 says those popular and well-maintained filters can be tailored to your needs.

Practical use: if you're choosing a library for a long-lived project, scan for the well-maintained and archived markers first, then filter by your language list. For a quick weekend hack, sort by popularity and skim the card details instead of opening ten tabs.

Next step: open one topic list and check whether the archived and maintenance markers appear on the cards you care about; if they do, you can triage entirely from the list view. For cross-checking a specific repository's health, GitHub itself remains the authoritative source at GitHub.

How does Awesome Explorer's aggregated mode group related topics together?

Awesome Explorer's aggregated mode gathers related topics onto a single page rather than making you jump between separate lists. For example, instead of browsing Rust, C++, and Zig as disconnected categories, an aggregated view can present them together under a broader theme, so you can compare tools across ecosystems in one pass. The site's own update notes describe this as grouping “all related topics” on one page, launched alongside a UI refactor and improved full-text search.

How to use it

Pick a broad area you care about, such as systems programming or mobile development, and open its aggregated page.
Use the sortable and filterable card view to narrow results by popularity, maintenance status, or whether a repository is archived.
Read the card details first, since the site aims to put essential repository information directly in each card instead of making you open every project.

What to watch for Aggregation is a convenience for discovery, not a quality guarantee. A grouped page can mix mature and experimental projects, so treat the filters as your main control: “well maintained” and “popular” are more useful signals than topic grouping alone. The site also notes a customizable filter for popular and well-maintained projects, which helps if the default grouping is too broad.

For a concrete next step, start with one aggregated topic page, apply the well-maintained filter, then shortlist two or three repositories from the cards before visiting their source pages. If you want broader curated lists beyond this explorer, GitHub hosts many awesome-style collections.

First, clear up the word "code"

The keyword "code" is overloaded, and that causes real confusion for developers:

Postal code — the ZIP Code (U.S.) or postal code (Canada) that identifies a delivery area.
API key — the credential you use to authenticate your requests. It is not postal data.
Source code — the program you write to call the API.

When someone searches for "postal code API code," they usually want example request/response code for a postal code service. The rest of this article treats it that way.

What a postal code API actually returns

Response fields vary by provider and endpoint, but the core set is fairly consistent. A single-code lookup commonly returns:

Field	Example	Notes
Postal code	`90210`	The code you queried
City	`Beverly Hills`	May be one of several acceptable place names
State / Province	`CA`	Two-letter abbreviation
County	`Los Angeles`	Useful for tax, territory, and reporting logic
Latitude / Longitude	`34.0901, -118.4065`	Usually the centroid of the area
ZIP+4	`90210-1234`	Present only when a specific delivery segment is known
Time zone	`America/Los_Angeles`	Helps with scheduling and display
Area codes	`310`, `424`	Regional phone context

Richer datasets add 90+ fields: boundaries, population, income, elevation, and more. You rarely need all of them — request only what your application uses.

A representative JSON response

{
  "postal_code": "90210",
  "city": "Beverly Hills",
  "state": "CA",
  "county": "Los Angeles",
  "latitude": 34.0901,
  "longitude": -118.4065,
  "timezone": "America/Los_Angeles",
  "area_codes": ["310", "424"]
}

XML responses carry the same information in tag form. Choose based on what your stack parses most easily; JSON is the common default.

Common request patterns

Most postal code APIs support four patterns. Knowing which one you need prevents wasted calls.

1. Lookup by code

You have a code and want its details. This is the simplest and fastest call.

GET /lookup?code=90210

2. Reverse lookup by address

You have a street address and want to confirm or complete the code. This is the pattern behind checkout address validation.

GET /validate?street=...&city=...&state=...

3. Radius search

You have a center point and want all codes within a distance. Useful for store locators and delivery zones.

GET /radius?code=90210&miles=10

4. Batch validation

You have a file of addresses and want them cleaned in bulk. Batch endpoints trade latency for throughput and usually have their own limits.

Handling missing and ambiguous matches

Real data is messy. Plan for these cases:

No match — the code doesn't exist or the address is malformed. Return a clear error rather than a silent empty object.
Multiple matches — a city name may map to several codes, or a code may span several acceptable city names. Decide whether to pick the primary or return a list.
Partial match — the street is valid but the ZIP+4 isn't. Fall back to the 5-digit code.
Stale data — codes are added, retired, and reassigned. Refresh your dataset on a regular schedule.

A practical rule: validate at the point of entry, store the normalized result, and never re-derive it later from raw user input.

Practical use cases

Checkout address validation — catch typos before shipping, reduce failed deliveries.
Shipping zone lookup — map a code to a zone, carrier route, or rate table.
Data enrichment — append county, coordinates, or demographics to existing records.
Store and service locators — radius search to find nearby branches or coverage areas.
Territory and tax logic — county and boundary data drive jurisdiction rules.

Licensing and data-source considerations

Postal code data originates with national authorities — USPS in the United States and Canada Post in Canada. Providers license and repackage it, which is why accuracy, update frequency, and field coverage differ between services. Before committing:

Confirm the data source and how often it refreshes.
Check whether ZIP+4 and boundary data are included or sold separately.
Review usage limits and whether batch processing is allowed.
Read the license terms for redistribution and storage.

Pricing and plan details change, so check the provider's current documentation rather than relying on secondhand figures.

Getting started

Decide which request pattern you need (lookup, reverse, radius, or batch).
Pick the fields you'll actually store.
Write a small test call and inspect the raw response.
Add error handling for no-match and ambiguous cases.
Cache results where the same codes repeat.

A postal code API is ultimately a translation layer: you give it a code or an address, and it gives back structured location facts. Understand the fields, match them to your use case, and handle the messy edges — that's most of the work.

Website Overview

An established domain and managed infrastructure suggest continuity of operations and may support dependable delivery, although neither guarantees service quality. Several search or sharing settings need attention. Together they may make snippets, preview images or preferred URLs less consistent across platforms.

Domain and Registration

Registered in 2013, this domain has about 13 years of history. That suggests continuity, although ownership and purpose may have changed. The registrar, MarkMonitor Inc., specializes in corporate domain and brand management, suggesting attention to domain asset protection. Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The domain uses the common .io extension, which is not an independent safety signal.

DNS and Email

Nameservers are provided by Amazon Route 53, indicating managed DNS hosting. CAA records restrict which certificate authorities are authorized to issue certificates. No CNAME was found; the observed records resolve directly to addresses. No MX record was found. A conventional explicit inbound-mail route is not configured. 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 response lacks these common security headers: CSP, X-Content-Type-Options, Referrer-Policy, Permissions-Policy, clickjacking protection. CORS permits any origin to read this response. This is common for public resources; sensitive responses need narrower handling. No X-Powered-By header was found, reducing one common source of backend fingerprinting information. The x-cache, x-served-by, via response header indicates a CDN or caching proxy in the delivery path. No obvious internal addresses or debug information were found in the headers.

Technology Stack Analysis

The public page identifies Next.js, Tailwind CSS, Fastly without precise versions, leaving fewer clues for version-specific scanning.

Search and Social Sharing

No homepage title was detected; search engines may construct one from other page content. No homepage meta description was detected, leaving snippet selection more dependent on page text. 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 observed directives allow indexing and link following.

Hosting and Email

DNSAmazon Route 53

HostingFastly

EmailUnknown

Approximate IP geolocation (inferred; a CDN or proxy may differ from the origin server) United States Inferred 185.199.108.153

Open approximate map on OpenStreetMap

Registration details

RDAP / WHOIS

Registrar	MarkMonitor Inc.
Registered	2013-03-08
Expires	2027-03-08
Domain status	clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited、clientTransferProhibited https://icann.org/epp#clientTransferProhibited、clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Nameservers	dns1.p05.nsone.net、dns2.p05.nsone.net、dns3.p05.nsone.net、ns-1622.awsdns-10.co.uk、ns-692.awsdns-22.net
DNSSEC	unsigned

DNS records

DNS

Type	Name	Value	TTL	Priority
A	awexplor.github.io	185.199.108.153	3600	—
A	awexplor.github.io	185.199.109.153	3600	—
A	awexplor.github.io	185.199.110.153	3600	—
A	awexplor.github.io	185.199.111.153	3600	—
AAAA	awexplor.github.io	2606:50c0:8000::153	3600	—
AAAA	awexplor.github.io	2606:50c0:8001::153	3600	—
AAAA	awexplor.github.io	2606:50c0:8002::153	3600	—
AAAA	awexplor.github.io	2606:50c0:8003::153	3600	—
NS	github.io	dns1.p05.nsone.net	2911	—
NS	github.io	dns2.p05.nsone.net	2911	—
NS	github.io	dns3.p05.nsone.net	2911	—
NS	github.io	dns4.p05.nsone.net	2911	—
NS	github.io	ns-1339.awsdns-39.org	2911	—
NS	github.io	ns-1622.awsdns-10.co.uk	2911	—
NS	github.io	ns-393.awsdns-49.com	2911	—
NS	github.io	ns-692.awsdns-22.net	2911	—
TXT	github.io	v=spf1 a -all	3600	—
CAA	github.io	0 issue "digicert.com"	3600	—
CAA	github.io	0 issue "letsencrypt.org"	3600	—
CAA	github.io	0 issue "sectigo.com"	3600	—
CAA	github.io	0 issuewild "digicert.com"	3600	—
CAA	github.io	0 issuewild "letsencrypt.org"	3600	—
CAA	github.io	0 issuewild "sectigo.com"	3600	—

TLS and certificates

TLS / SSL

Assessment	Normal configuration
Supported protocols	TLSv1.2、TLSv1.3
Negotiated protocol	TLSv1.3
Certificate subject	*.github.io
Issuer	Let's Encrypt
Valid until	2026-10-31T23:38 · Remaining when checked: 29 days
Verification details	Certificate trust: Passed · Hostname match: Passed

HTTP response headers

HTTP

Header	Value
content-type	text/html; charset=utf-8
cache-control	max-age=600
server	GitHub.com
strict-transport-security	max-age=31556952
access-control-allow-origin	*

Identified technologies

Next.jsTailwind CSSFastly

Pages, Search and Sharing

Meta description	Not detected
Canonical URL	Not detected
Language	English (default)
Twitter Card	Not detected

https://awexplor.github.io/sitemap.xml(opens in a new tab)

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