✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekRank for Haskell Hackage package pages

Pull the Hackage index into a dataset of about 17000 Haskell packages with description, latest version, dependencies, GHC support, license, and changelog. SleekRank turns each row into a page under /haskell/hackage/{slug}/ with GHC compatibility badges.

€50 off for the first 100 lifetime licenses!

SleekRank for Haskell packages on Hackage

Hackage metadata is structured ecosystem data ready for indexable pages

Hackage holds roughly 17000 Haskell packages with a uniform metadata shape. Each package carries name, description, latest version, full version history, build-depends, GHC compatibility range, license, maintainer, category, and changelog. The official Hackage UI exposes most of this but lacks editorial overlays and the per-package URLs sometimes nest deeply behind version segments.

SleekRank turns each Hackage package into its own clean URL. A row per package lives in a dataset with name, description, latest_version, build_depends (JSON array), ghc_versions (JSON array), license, maintainer, category, versions (JSON array), and changelog_url. Each row becomes /haskell/hackage/aeson/, /haskell/hackage/lens/, or /haskell/hackage/conduit/ with version timelines and GHC compatibility badges rendered.

Editing is mostly automatic. A nightly job pulls the Hackage 00-index tarball and updates the dataset. New packages get new rows. Deprecated packages flip a flag. New GHC release windows flow through to the compatibility badges. Category browsing writes itself: a reader can filter to only parsers, only web frameworks, or only packages that explicitly support GHC 9.10.

Workflow

From Hackage index to indexed package reference

1

Build the base package page

Design one WordPress page with sections for description, latest version, build-depends, GHC compatibility, license, maintainer, version timeline, changelog link, Stackage block, and related packages. The template renders every package row in the same layout.
2

Structure the Hackage dataset

Columns for slug, name, description, latest_version, build_depends, ghc_versions, license, maintainer, category, versions, deprecated, successor, stackage_lts, build_matrix. Build-depends and versions are JSON arrays. One dataset covers the full registry.
3

Map fields to template blocks

Tag mappings target description and headings. List mappings render build-depends tables, GHC badges, version timeline, and Stackage block. Meta mappings populate title, description, and the OG card. Category drives the related-package clusters on every page.
4

Sync and publish

A nightly job pulls the Hackage 00-index tarball, diffs against the previous run, and updates only changed rows. SleekRank regenerates the affected pages, the category and GHC-filtered index pages refresh, and new packages publish within a day of appearing on Hackage upstream.

Data in, pages out

One row per package, 17000 Hackage pages

Each row carries latest version, build-depends, GHC compatibility range, license, and changelog link. List mappings render dependency and version blocks per page automatically.
Data source: Hackage 00-index tarball
slug name latest_version category license
aeson aeson 2.2.3.0 json BSD-3-Clause
lens lens 5.3.2 lenses BSD-2-Clause
conduit conduit 1.3.5 streaming MIT
servant servant 0.20.1 web framework BSD-3-Clause
text text 2.1.1 text BSD-2-Clause
URL pattern: /haskell/hackage/{slug}/
Generated pages
  • /haskell/hackage/aeson/
  • /haskell/hackage/lens/
  • /haskell/hackage/conduit/
  • /haskell/hackage/servant/
  • /haskell/hackage/text/

Comparison

Default Hackage browse vs SleekRank pages

Default Hackage UI

  • Default browsing focuses on package list and lacks GHC-version filter views
  • Reverse-dependency views exist but do not anchor topical category clusters
  • Deprecation status is shown per package but not used to drive cross-page warnings
  • Editorial overlays (write-ups, security notes) are not part of the registry UI
  • Build-depends parsing requires reading Cabal files; no consolidated dep table view
  • Category pages do not always cross-link related categories or alternative packages

SleekRank

  • One row per Hackage package drives /haskell/hackage/{slug}/ automatically
  • Build-depends arrays render through list mappings as a clean dependency table
  • ghc_versions array drives compatibility badges and GHC-filtered index views
  • Category column drives /haskell/hackage/category/{category}/ index pages
  • Deprecated packages render a warning banner driven by a single boolean column
  • Sitemap, breadcrumbs, JSON-LD SoftwareApplication, and OG cards generate per row

Features

What SleekRank gives you for Haskell packages on Hackage

Build-depends tables

Store build_depends as a JSON array of objects with name and version constraint. SleekRank renders a dependency table on every package page with each entry linked to its own Hackage slug. Readers see at a glance what aeson or lens pulls in, with version bounds preserved exactly as they appear in the Cabal file.

GHC compatibility badges

The ghc_versions array lists every GHC release the package builds against. A list mapping renders compatibility badges on each page and feeds /haskell/hackage/ghc/{version}/ index pages. Readers writing code against GHC 9.10 filter the ecosystem to compatible packages without per-package trial builds.

Release timelines

Versions is a JSON array of objects with version, released, and revisions (Cabal file revisions count, since Hackage allows metadata edits without bumping the version). A list mapping renders a release timeline on every package page with each version linked to its specific changelog entry when one is present.

Use cases

Who runs Haskell package references on SleekRank

Haskell learning sites

Run a curated Hackage reference alongside Haskell course material. Each package becomes a teaching example with build-depends, GHC support, and category context, and the related-package clusters help learners discover idiomatic libraries.

Open source documentation sites

Publish a Hackage companion that augments the registry with editorial notes, tutorials, and security context. The same dataset powers a JSON API for tooling, so editors update one source while CLI tools and IDEs pull from the same store.

Devtool marketing teams

Run a Haskell package catalog as top-of-funnel content for a build tool, license auditor, or SBOM generator. Every package page links into product features that scan, audit, or instrument Haskell builds and Cabal manifests.

The bigger picture

Why Hackage references win as structured pages

The Haskell ecosystem on Hackage is a clean fit for a row-per-package reference site. The fields repeat across 17000 entries with the kind of structure that a Cabal-driven registry enforces. Name, description, version, build-depends, GHC versions, license, maintainer, category.

Every package fits the same template. Hackage itself is excellent at discovery but does not surface editorial overlays, GHC-filtered cross-cutting views, or build-matrix heat maps inline on every package page. A row-driven companion site adds those without competing with Hackage as the canonical registry.

Each package gets a stable URL with editorial content alongside metadata. Search engines pick up dateModified on every nightly sync. GHC-filtered and category-filtered index pages rank for queries like Haskell JSON libraries on GHC 9.10.

The marginal cost of a new package release drops to a sync run. That structure also makes the data reusable. The same dataset that drives the site can feed a Stackage-aware build tool, a license auditor, or a CI bot that warns when a project depends on deprecated packages, all from one source.

Questions

Common questions about SleekRank for Haskell packages on Hackage

Schedule a nightly sync that pulls the Hackage 00-index tarball, diffs against the previous run, and updates only changed rows. SleekRank regenerates the affected pages. The full corpus is incremental, so sync stays fast as the registry grows. The dateModified field on each row drives the JSON-LD payload so search engines pick up freshness signals without manual editing.

 

Yes. Hackage allows metadata edits to a published version without bumping the version. Store a revisions count per version in the versions JSON array. The release timeline renders both the original release and any subsequent revision count, with a link to the metadata diff. Readers debugging build failures see at a glance whether a revision changed the version bounds.

 

Add a stackage_lts JSON array of LTS resolvers that include the package. A list mapping renders a Stackage compatibility block on each page with the LTS version range. Readers using Stackage-based projects see immediately which resolvers carry the package, and the index page at /haskell/hackage/stackage-lts/{resolver}/ lists every included package.

 

A deprecated boolean and a successor field per row. Deprecated packages render a warning banner on every page with the recommended successor linked. The sitemap keeps the URL alive so external code still resolves, but search engines see the dateModified update and reindex with the deprecation context surfaced in the title and meta description automatically.

 

Yes. Cross-reference the Hackage Matrix build report data per package per GHC version and store it as a build_matrix JSON object. A heat-map block on each page renders the matrix visually. Readers see at a glance which GHC versions build cleanly and which fail, without leaving the package page to check the upstream matrix UI directly.

 

Each page carries a unique description, unique version history, unique dependency table, unique GHC compatibility data, and a unique changelog reference. That is genuinely unique data per page. Search behavior matches npm and crates.io listings, which rank reliably across thousands of pages because every entry is genuinely distinct and updated as releases ship to the registry.

 

Yes. Each package carries category strings from its Cabal file. SleekRank generates /haskell/hackage/category/{category}/ index pages ranked by recent downloads or last-updated date. Keyword-based clusters can be added by parsing description text or by maintaining a curated keyword overlay file alongside the registry-sourced dataset for editorial control.

 

Append the new GHC version to ghc_versions on every package that builds against it as build reports come in. The compatibility badges and the /haskell/hackage/ghc/{version}/ index page update on the next sync. Editor cost per new GHC release is one configuration field. Packages that fail against the new GHC carry a clear incompatibility note driven by build matrix data.

 

Pricing

More than 1000+
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  • 1 year of updates
  • 1 year of support

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  • Unlimited websites
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What’s included

  • SleekAI

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