$npx skillfedfor your agent

habanero

Low Level Client for Crossref Search API

Worth itPyPI Bio-InformaticsReleased Jun 202683.2K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — habanero-2.9.2-py3-none-any.whl
v2.9.2 · released 2026-06-17 · Python >=3.10 · 4 runtime deps: httpx2, packaging, tqdm, urllib3

Yes. habanero is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively under MIT. It's the natural choice if you need direct, low-level access to Crossref's search API from Python. Install it if you're building tools that query bibliographic data; skip it only if you need a higher-level abstraction or don't need Crossref's specific data.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later.
  • API access requires an internet connection; consider including a mailto parameter in requests to join Crossref's polite pool for better rate limits.
  • Low friction installation with a pure-Python wheel.

License · maintenance · safety

permissive license (permissive) — MIT license (permissive). You can use, modify, and distribute habanero freely in commercial and private projects, with no warranty and minimal attribution requirements.

last release 2026-06-17 (58 days) · last repo commit 2026-07-31 · 251 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 83,189 downloads/mo, #14,096 on PyPI

Verify before relying

pip install habanero

from habanero import Crossref

cr = Crossref()
results = cr.works(query='python')
  • Whether rate limiting behavior differs meaningfully between requests with and without a mailto parameter in practice.
  • Performance characteristics when handling large result sets or concurrent requests.
  • Whether the optional bibtexparser dependency is commonly needed or rarely used.
Same gist for agents: .md · .json

What it is and what it does

habanero wraps Crossref's HTTP search API into a Python client, letting you query bibliographic metadata—article titles, authors, publication dates, DOIs—without building HTTP requests by hand. It's designed as a low-level interface, meaning it stays close to the API's structure rather than adding high-level abstractions; you work directly with the data Crossref returns.

The package depends on httpx2 for HTTP transport, urllib3 as a fallback, tqdm for progress indication in bulk operations, and packaging for version handling. It supports Python 3.10 through 3.14 and has been in active development since 2015. An optional bibtexparser dependency (version 2.0.0b7 or later) is available for fixing bibtex-formatted citations via content negotiation, installed separately with the [bibtex] extra.

Use it for

  • Search Crossref's publication database by title, author, or DOI to retrieve structured metadata for research tools or literature review automation.
  • Build a bibliographic index or reference management system that pulls live data from Crossref rather than maintaining a static database.
  • Integrate publication metadata into a research workflow, such as fetching article details to populate a knowledge base or citation graph.
  • Retrieve DOI metadata programmatically to validate or enrich citation data in academic publishing platforms.
  • Batch-query Crossref for metadata on multiple publications, using tqdm progress tracking for long-running operations.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

habanero is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively under MIT. It's the natural choice if you need direct, low-level access to Crossref's search API from Python. Install it if you're building tools that query bibliographic data; skip it only if you need a higher-level abstraction or don't need Crossref's specific data.

Install

habanero on PyPI

Before you install

Low friction installation with a pure-Python wheel. Actively maintained with a recent release; last commit 2026-07-31 and status marked active. Depends on four common libraries: httpx2, packaging, tqdm, and urllib3.

Requires Python 3.10 or later. API access requires an internet connection; consider including a mailto parameter in requests to join Crossref's polite pool for better rate limits.

License in practice

MIT license (permissive). You can use, modify, and distribute habanero freely in commercial and private projects, with no warranty and minimal attribution requirements.

Quickstart

pip install habanero

from habanero import Crossref

cr = Crossref()
results = cr.works(query='python')

Verify before relying

  • Whether rate limiting behavior differs meaningfully between requests with and without a mailto parameter in practice.
  • Performance characteristics when handling large result sets or concurrent requests.
  • Whether the optional bibtexparser dependency is commonly needed or rarely used.

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
httpx2packagingtqdmurllib3
MaintenanceActively maintained 58 days since the last release
Last repo commit
First released
Downloads83,189 / month, #14,096 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Bio-Informatics

Evidence: habanero-2.9.2-py3-none-any.whl

Tags

Capabilities
crossref api clientbibliographic metadata searchpublication data retrievalcrossref search pythonscholarly article metadatadoi lookup clientcrossref query library
Topics
bibliographic-dataapi-clientscholarly-publishing

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “crossref api client”

  • habanerohabanero is a low-level Python client for the Crossref search API,…
  • codewords-clientA Python client library for the Codewords API with built-in FastAPI…
  • twentyc.rpcA client library for consuming 20c's RESTful API, built on top of the…

Give your agent the search over MCP, or paste the wish link into any chat.

More Bio-Informatics packages

networkx Worth it
PyPI · Python Modules · released Dec 2025

NetworkX provides data structures and algorithms for creating, analyzing, and manipulating graphs and networks, supporting everything from simple undirected graphs to complex directed and weighted networks.

BSD-3-Clausepure Python
290.9Mdownloads / mo
biopython Worth it
PyPI · Scientific/Engineering · released Aug 2026

Biopython provides Python tools for computational molecular biology, including sequence analysis, structure parsing, database access, and phylogenetic tree manipulation.

However, verify that the custom Biopython License Agreement aligns with your project's licensing requirements before committing to it in production or proprietary work.

LicenseRef-Biopython-License-Agreementcompiled wheel · 3.10+
14.4Mdownloads / mo
firecrawl-py Worth it
PyPI · Software Development · released Aug 2026

Client library for the Firecrawl API that scrapes, crawls, and searches the web, returning clean Markdown or structured data; also indexes research papers from PubMed, bioRxiv, medRxiv, and arXiv.

MITpure Python · 3.8+
7.3Mdownloads / mo
intervaltree Worth it
PyPI · Libraries · released Dec 2025

A self-balancing interval tree data structure that stores and queries overlapping or enveloped ranges, supporting point lookups, range overlaps, and range envelopment queries.

Install it if you need to store and query overlapping or enveloped ranges; the self-balancing design and rich query interface make it significantly easier than…

Apache-2.0pure Pythonaging
6.3Mdownloads / mo
albumentations Worth it
PyPI · Libraries · released May 2025

Albumentations applies image transformations to training data, supporting classification, segmentation, object detection, and pose estimation with a unified API for images, masks, bounding boxes, and keypoints.

Install it if you need a unified, production-grade augmentation API for computer vision tasks.

MITpure Python · 3.9+aging
5.5Mdownloads / mo
PubChemPy Worth it
PyPI · Scientific/Engineering · released Sep 2025

PubChemPy is a Python wrapper around the PubChem REST API that lets you search for chemical compounds by name, substructure, or similarity, retrieve their properties, and convert between chemical file formats.

Install it if you need programmatic access to PubChem data.

MITpure Python · 3.10+aging
5.4Mdownloads / mo

See also pyzotero · scholarly · bibtexparser · pymarc · lexisnexisapi · isbnlib · pystac-ext-scientific · wikipedia-mcp · pyalex · semanticscholar