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fix: update entries to use GitHub URLs as primary links

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spark.ml, django.db.models, and geodjango were pointing to
documentation pages as their primary link rather than the
GitHub repository. Move docs URLs inline as descriptive links
so the primary link follows the standard GitHub-first convention.

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Vinta Chen
2026-03-22 01:48:36 +08:00
parent 3417dce4c1
commit f7b51a6207
1 changed files with 3 additions and 3 deletions
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@@ -160,7 +160,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
- [mindsdb](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
- [pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for probabilistic graphical models and Bayesian networks.
- [scikit-learn](https://github.com/scikit-learn/scikit-learn) - The most popular Python library for Machine Learning with extensive documentation and community support.
- [spark.ml](http://spark.apache.org/docs/latest/ml-guide.html) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library for distributed computing.
- [spark.ml](https://github.com/apache/spark) - [Apache Spark](https://spark.apache.org/)'s scalable [Machine Learning library](https://spark.apache.org/docs/latest/ml-guide.html) for distributed computing.
- [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
## Natural Language Processing
@@ -360,7 +360,7 @@ _Libraries for sending and parsing email, and mail server management._
_Libraries that implement Object-Relational Mapping or data mapping techniques._
- Relational Databases
- [django.db.models](https://docs.djangoproject.com/en/dev/topics/db/models/) - The Django ORM.
- [django.db.models](https://github.com/django/django) - The Django [ORM](https://docs.djangoproject.com/en/dev/topics/db/models/).
- [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy) - The Python SQL Toolkit and Object Relational Mapper.
- [awesome-sqlalchemy](https://github.com/dahlia/awesome-sqlalchemy)
- [dataset](https://github.com/pudo/dataset) - Store Python dicts in a database - works with SQLite, MySQL, and PostgreSQL.
@@ -487,7 +487,7 @@ _Libraries for visualizing data. Also see [awesome-javascript](https://github.co
_Libraries for geocoding addresses and working with latitudes and longitudes._
- [django-countries](https://github.com/SmileyChris/django-countries) - A Django app that provides a country field for models and forms.
- [geodjango](https://docs.djangoproject.com/en/dev/ref/contrib/gis/) - A world-class geographic web framework.
- [geodjango](https://github.com/django/django) - A world-class geographic web framework that is part of [Django](https://docs.djangoproject.com/en/dev/ref/contrib/gis/).
- [geojson](https://github.com/jazzband/geojson) - Python bindings and utilities for GeoJSON.
- [geopandas](https://github.com/geopandas/geopandas) - Python tools for geographic data (GeoSeries/GeoDataFrame) built on pandas.
- [geopy](https://github.com/geopy/geopy) - Python Geocoding Toolbox.