diff --git a/README.md b/README.md
index d09b01b..357ab71 100644
--- a/README.md
+++ b/README.md
@@ -134,10 +134,10 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
- Agent Skills
- [django-ai-plugins](https://github.com/vintasoftware/django-ai-plugins) - Django backend agent skills for Django, DRF, Celery, and Django-specific code review.
- - [graphify](https://github.com/safishamsi/graphify) - Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph.
+ - [graphify](https://github.com/safishamsi/graphify) - Turn any folder of code, SQL schemas, docs, papers, images, or videos into a queryable knowledge graph.
- [nuwa-skill](https://github.com/alchaincyf/nuwa-skill/blob/main/README_EN.md) - Nuwa distills the thinking of anyone — let Musk, Naval, Munger, and Feynman work for you.
- [sentry-skills](https://github.com/getsentry/skills) - Python-focused engineering skills for code review, debugging, and backend workflows.
- - [trailofbits-skills](https://github.com/trailofbits/skills) - Python-friendly security skills for auditing, testing, and safer backend development. Also [skills-curated](https://github.com/trailofbits/skills-curated).
+ - [trailofbits-skills](https://github.com/trailofbits/skills) - Python-friendly security skills for auditing, testing, and safer backend development.
- Orchestration
- [ag2](https://github.com/ag2ai/ag2) - An open-source AgentOS for multi-agent orchestration and building agentic AI systems.
- [autogen](https://github.com/microsoft/autogen) - A programming framework for building agentic AI applications.
@@ -148,6 +148,7 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
- [dspy](https://github.com/stanfordnlp/dspy) - A framework for programming, not prompting, language models.
- [hermes-agent](https://github.com/nousresearch/hermes-agent) - An adaptive AI agent framework that grows with you.
- [langchain](https://github.com/langchain-ai/langchain) - Building applications with LLMs through composability.
+ - [langgraph](https://github.com/langchain-ai/langgraph) - Low-level orchestration framework for building stateful, long-running LLM agents.
- [openai-agents](https://github.com/openai/openai-agents-python) - OpenAI's framework for building and managing AI agents.
- [OpenChronicle](https://github.com/Einsia/OpenChronicle) - Open-source, local-first memory for any tool-capable LLM agent.
- [promptise](https://github.com/promptise-com/foundry) - A framework for building end-to-end production-ready agentic systems, scalable & secure MCP's and autonomous agents.
@@ -157,8 +158,10 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
- [instructor](https://github.com/567-labs/instructor) - A library for extracting structured data from LLMs, powered by Pydantic.
- [llama-index](https://github.com/run-llama/llama_index) - A data framework for your LLM application.
- [mem0](https://github.com/mem0ai/mem0) - An intelligent memory layer for AI agents enabling personalized interactions.
+ - [outlines](https://github.com/dottxt-ai/outlines) - Structured text generation for LLMs with JSON schema, regex, and grammar-constrained decoding.
- Pre-trained Models and Inference
- [diffusers](https://github.com/huggingface/diffusers) - A library that provides pre-trained diffusion models for generating and editing images, audio, and video.
+ - [LiteLLM](https://github.com/BerriAI/litellm) - Call 100+ LLMs using OpenAI format.
- [mlx-lm](https://github.com/ml-explore/mlx-lm) - Run and fine-tune large language models on Apple Silicon with MLX.
- [sglang](https://github.com/sgl-project/sglang) - A high-performance serving framework for large language models and multimodal models.
- [transformers](https://github.com/huggingface/transformers) - A framework that lets you easily use pre-trained transformer models for NLP, vision, and audio tasks.
@@ -192,7 +195,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
- [mindsdb](https://github.com/mindsdb/minds-platform) - 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.
-- * [scikit-lego](https://github.com/koaning/scikit-lego) - A collection of lego bricks for scikit-learn pipelines.
+- - [scikit-lego](https://github.com/koaning/scikit-lego) - A collection of lego bricks for scikit-learn pipelines.
- [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.
- [TabGAN](https://github.com/Diyago/Tabular-data-generation) - Synthetic tabular data generation using GANs, Diffusion Models, and LLMs.
- [timesfm](https://github.com/google-research/timesfm) - A pretrained foundation model from Google Research for time-series forecasting.
@@ -269,7 +272,7 @@ _Libraries for building RESTful and GraphQL APIs._
- [connexion](https://github.com/spec-first/connexion) - A spec-first framework that automatically handles requests based on your OpenAPI specification.
- [falcon](https://github.com/falconry/falcon) - A high-performance framework for building cloud APIs and web app backends.
- [fastapi](https://github.com/fastapi/fastapi) - A modern, fast, web framework for building APIs with standard Python type hints.
- - [sanic](https://github.com/sanic-org/sanic) - A Python 3.6+ web server and web framework that's written to go fast.
+ - [sanic](https://github.com/sanic-org/sanic) - A Python web server and web framework that's written to go fast.
- [strawberry](https://github.com/strawberry-graphql/strawberry) - A GraphQL library that leverages Python type annotations for schema definition.
- [webargs](https://github.com/marshmallow-code/webargs) - A friendly library for parsing HTTP request arguments with built-in support for popular web frameworks.
@@ -326,7 +329,7 @@ _Libraries for implementing authentication schemes._
- JWT
- [pyjwt](https://github.com/jpadilla/pyjwt) - JSON Web Token implementation in Python.
- Permissions
- - [django-guardian](https://github.com/django-guardian/django-guardian) - Implementation of per object permissions for Django 1.2+
+ - [django-guardian](https://github.com/django-guardian/django-guardian) - Implementation of per-object permissions for Django.
- [django-rules](https://github.com/dfunckt/django-rules) - A tiny but powerful app providing object-level permissions to Django, without requiring a database.
### Admin Panels
@@ -444,6 +447,7 @@ _Databases implemented in Python._
- [pickledb](https://github.com/patx/pickledb) - A simple and lightweight key-value store for Python.
- [tinydb](https://github.com/msiemens/tinydb) - A tiny, document-oriented database.
- [ZODB](https://github.com/zopefoundation/ZODB) - A native object database for Python. A key-value and object graph database.
+- [zvec](https://github.com/alibaba/zvec) - An embedded vector database for on-device RAG and edge AI, the SQLite of vector databases.
### Caching
@@ -531,7 +535,6 @@ _Libraries for visualizing data. Also see [awesome-javascript](https://github.co
- Dashboards and Apps
- [gradio](https://github.com/gradio-app/gradio) - Build and share machine learning apps, all in Python.
- [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
-
### Geolocation
_Libraries for geocoding addresses and working with latitudes and longitudes._
@@ -852,6 +855,7 @@ _Libraries for working with graphical user interface applications._
- [toga](https://github.com/beeware/toga) - A Python native, OS native GUI toolkit.
- [wxPython](https://github.com/wxWidgets/Phoenix) - A blending of the wxWidgets C++ class library with the Python.
- Web-based
+ - [buridan/ui](https://github.com/LineIndent/ui) - Composable, themeable components designed for Reflex. Extend, override, and ship without fighting the framework. Open source.
- [flet](https://github.com/flet-dev/flet) - Cross-platform GUI framework for building modern apps in pure Python.
- [nicegui](https://github.com/zauberzeug/nicegui) - An easy-to-use, Python-based UI framework, which shows up in your web browser.
- [pywebview](https://github.com/r0x0r/pywebview/) - A lightweight cross-platform native wrapper around a webview component.
@@ -869,7 +873,7 @@ _Libraries for parsing and manipulating plain texts._
- General
- [babel](https://github.com/python-babel/babel) - An internationalization library for Python.
- - [chardet](https://github.com/chardet/chardet) - Python 2/3 compatible character encoding detector.
+ - [chardet](https://github.com/chardet/chardet) - Python character encoding detector.
- [difflib](https://docs.python.org/3/library/difflib.html) - (Python standard library) Helpers for computing deltas.
- [ftfy](https://github.com/rspeer/python-ftfy) - Makes Unicode text less broken and more consistent automagically.
- [pangu.py](https://github.com/vinta/pangu.py) - Paranoid text spacing.
@@ -882,6 +886,7 @@ _Libraries for parsing and manipulating plain texts._
- [sqids](https://github.com/sqids/sqids-python) - A library for generating short unique IDs from numbers.
- [shortuuid](https://github.com/skorokithakis/shortuuid) - A generator library for concise, unambiguous and URL-safe UUIDs.
- Parser
+ - [parsy](https://github.com/python-parsy/parsy) - Easy, generic parser combinator library for creating parsers.
- [pygments](https://github.com/pygments/pygments) - A generic syntax highlighter.
- [pyparsing](https://github.com/pyparsing/pyparsing) - A general purpose framework for generating parsers.
- [python-nameparser](https://github.com/derek73/python-nameparser) - Parsing human names into their individual components.
@@ -1126,6 +1131,7 @@ _Libraries for application-layer web security._
_Libraries for programming with hardware._
- [bleak](https://github.com/hbldh/bleak) - A cross platform Bluetooth Low Energy Client for Python using asyncio.
+- [jumpstarter](https://github.com/jumpstarter-dev/jumpstarter) - A hardware-in-the-loop testing framework with a Python client library for automated testing on real and virtual hardware.
- [pynput](https://github.com/moses-palmer/pynput) - A library to control and monitor input devices.
- [synology-api](https://github.com/N4S4/synology-api) - Python wrapper for Synology NAS APIs: Surveillance Station, File Station, Download Station, Docker, and 50+ other endpoints.
diff --git a/SPONSORSHIP.md b/SPONSORSHIP.md
index 67f7cbc..e61b995 100644
--- a/SPONSORSHIP.md
+++ b/SPONSORSHIP.md
@@ -26,29 +26,37 @@ Your sponsorship puts your product in front of developers at the exact moment th
- Large logo and one-line description (max 120 characters) pinned at the very top of the README, above all project entries
- Logo link in the sponsor section of [awesome-python.com](https://awesome-python.com/)
-### Featured Sponsor - $150/month
+### Featured Sponsor - $200/month
- Text entry (`[Name](URL) - Description.`, max 120 characters) pinned at the top of the README, directly below Headline sponsors
- Text link in the sponsor section of [awesome-python.com](https://awesome-python.com/)
+### Indie Dev Sponsor - $99/month or $249/quarter
+
+- Lower-cost tier for indie developers, solo founders, and one-person companies only
+- Text entry (`[Name](URL) - Description.`, max 120 characters) in the README sponsor section, directly below Featured sponsors
+- Text link in the sponsor section of [awesome-python.com](https://awesome-python.com/)
+
+Indie Dev Sponsor is available only to founder-led (one-person company) products. Funded startups, larger companies, and products with enterprise sales teams should use Featured or Headline Sponsor.
+
+## Get Started
+
+Email [sponsorship@awesome-python.com](mailto:sponsorship@awesome-python.com?subject=Awesome%20Python%20Sponsorship) with:
+
+- **Tier:** Headline Sponsor ($500/mo), Featured Sponsor ($200/mo), or Indie Dev Sponsor ($99/mo or $249/quarter)
+- **Content:** Product name, URL, logo, and description (Headline tier) or `[Name](URL) - Description.` entry (Featured or Indie Dev tier)
+- **Duration:** 1, 3, 6 months, or longer
+- **Payment method:** US bank transfer (ACH/wire) or PayPal
+
+One upfront payment per term. Setup takes less than 24 hours.
+
## Previously Sponsored By
- [Warp](https://www.warp.dev/) - The terminal for modern developers.
- [pyr](https://pyrun.dev) - Zero-config Python project manager.
-## Get Started
-
-Email [sponsorship@awesome-python.com](mailto:sponsorship@awesome-python.com?subject=Awesome%20Python%20Sponsorship) with:
-
-- **Tier:** Headline Sponsor ($500/mo) or Featured Sponsor ($150/mo)
-- **Content:** Product name, URL, logo, and description (Headline tier) or `[Name](URL) - Description.` entry (Featured tier)
-- **Duration:** 1, 3, 6 months, or longer
-- **Payment method:** US bank transfer (ACH/wire) or PayPal
-
-One upfront payment per term. Setup takes less than 24 hours.
-
## Editorial Independence
-Sponsorship is logo/link placement in the README header. It does not influence which projects are listed. Listings are curated on merit through the normal [contribution process](CONTRIBUTING.md).
+Sponsorship is logo or link placement in the README header. It does not influence which projects are listed. Listings are curated on merit through the normal [contribution process](CONTRIBUTING.md).
We reserve the right to request changes to sponsor text, logos, or links that are misleading, off-topic, or incompatible with the README formatting.
diff --git a/website/build.py b/website/build.py
index bcfc64d..347c4fb 100644
--- a/website/build.py
+++ b/website/build.py
@@ -28,6 +28,7 @@ BUILTIN_PUBLIC_URL = f"{SITE_URL}categories/{BUILTIN_SLUG}/"
SPONSORSHIP_PATH = "/sponsorship/"
SPONSORSHIP_PUBLIC_URL = f"{SITE_URL}sponsorship/"
+SPONSORSHIP_DESCRIPTION = "Sponsorship for awesome-python: tiers, audience, and how to get your product in front of professional Python developers evaluating tools for production use."
SOURCE_TYPE_DOMAINS = {
"docs.python.org": "Built-in",
@@ -128,6 +129,8 @@ def _website_node() -> dict:
"@id": WEBSITE_ID,
"name": "Awesome Python",
"url": SITE_URL,
+ "inLanguage": "en",
+ "sameAs": "https://github.com/vinta/awesome-python",
}
@@ -164,21 +167,59 @@ def build_homepage_json_ld(entries: Sequence[TemplateEntry], total_categories: i
"url": SITE_URL,
"description": description,
"isPartOf": ISPARTOF_WEBSITE,
+ "inLanguage": "en",
"mainEntity": _item_list_payload(entries),
},
],
}
-def category_meta_description(name: str, entry_count: int, description: str) -> str:
- count_sentence = f"Explore {entry_count} curated Python projects in {name}."
+def category_meta_title(name: str, parent_name: str | None = None) -> str:
+ if parent_name:
+ title = f"{name} for {parent_name} - Awesome Python"
+ if len(title) <= 60:
+ return title
+ title = f"{parent_name}: {name} - Awesome Python"
+ if len(title) <= 60:
+ return title
+ return f"{name} - Awesome Python"
+ title = f"{name} Python Libraries - Awesome Python"
+ if len(title) <= 60:
+ return title
+ return f"{name} - Awesome Python"
+
+
+def category_meta_description(name: str, entry_count: int, description: str, parent_name: str | None = None) -> str:
+ target = f"{name} for {parent_name}" if parent_name else name
+ count_sentence = f"Explore {entry_count} curated Python projects in {target}."
if description:
lead = description if description.endswith((".", "!", "?")) else f"{description}."
return f"{lead} {count_sentence}"
return f"{count_sentence} Part of the Awesome Python catalog."
-def build_category_json_ld(name: str, url: str, description: str, entries: Sequence[TemplateEntry]) -> dict:
+def build_breadcrumb_json_ld(items: Sequence[tuple[str, str]]) -> dict:
+ return {
+ "@type": "BreadcrumbList",
+ "itemListElement": [
+ {
+ "@type": "ListItem",
+ "position": i,
+ "name": name,
+ "item": url,
+ }
+ for i, (name, url) in enumerate(items, start=1)
+ ],
+ }
+
+
+def build_category_json_ld(
+ name: str,
+ url: str,
+ description: str,
+ entries: Sequence[TemplateEntry],
+ breadcrumbs: Sequence[tuple[str, str]],
+) -> dict:
return {
"@context": "https://schema.org",
"@graph": [
@@ -186,12 +227,38 @@ def build_category_json_ld(name: str, url: str, description: str, entries: Seque
{
"@type": "CollectionPage",
"@id": url,
- "name": f"{name} Python Libraries",
+ "name": name,
"url": url,
"description": description,
"isPartOf": ISPARTOF_WEBSITE,
+ "inLanguage": "en",
"mainEntity": _item_list_payload(entries),
},
+ build_breadcrumb_json_ld(breadcrumbs),
+ ],
+ }
+
+
+def build_sponsorship_json_ld() -> dict:
+ return {
+ "@context": "https://schema.org",
+ "@graph": [
+ _website_node(),
+ {
+ "@type": "WebPage",
+ "@id": SPONSORSHIP_PUBLIC_URL,
+ "name": "Sponsor Awesome Python",
+ "url": SPONSORSHIP_PUBLIC_URL,
+ "description": SPONSORSHIP_DESCRIPTION,
+ "isPartOf": ISPARTOF_WEBSITE,
+ "inLanguage": "en",
+ },
+ build_breadcrumb_json_ld(
+ [
+ ("Awesome Python", SITE_URL),
+ ("Sponsorship", SPONSORSHIP_PUBLIC_URL),
+ ]
+ ),
],
}
@@ -548,14 +615,21 @@ def build(repo_root: Path) -> None:
group_categories: Sequence[ParsedSection] | None = None,
) -> None:
page_dir.mkdir(parents=True, exist_ok=True)
- category_description = category_meta_description(category["name"], len(entries), category["description"])
+ parent_name = parent_category["name"] if parent_category else None
+ category_title = category_meta_title(category["name"], parent_name)
+ category_description = category_meta_description(category["name"], len(entries), category["description"], parent_name)
+ breadcrumbs = [("Awesome Python", SITE_URL)]
+ if parent_category:
+ breadcrumbs.append((parent_category["name"], category_public_url(parent_category)))
+ breadcrumbs.append((category["name"], category_url))
category_json_ld = json.dumps(
- build_category_json_ld(category["name"], category_url, category_description, entries),
+ build_category_json_ld(category_title.removesuffix(" - Awesome Python"), category_url, category_description, entries, breadcrumbs),
ensure_ascii=False,
).replace(" None:
hero_stats.append(f"{repo_stars}+ stars on GitHub")
hero_stats.append(f"Updated {build_date.strftime('%B %d, %Y')}")
(sponsorship_dir / "index.html").write_text(
- tpl_sponsorship.render(hero_stats=hero_stats),
+ tpl_sponsorship.render(
+ hero_stats=hero_stats,
+ sponsorship_description=SPONSORSHIP_DESCRIPTION,
+ sponsorship_json_ld=json.dumps(build_sponsorship_json_ld(), ensure_ascii=False).replace("Submit a project
+ Sponsorship
diff --git a/website/templates/index.html b/website/templates/index.html
index bf2abd2..e7f1c9e 100644
--- a/website/templates/index.html
+++ b/website/templates/index.html
@@ -18,6 +18,7 @@
rel="noopener"
>Submit a project
+ Sponsorship
diff --git a/website/templates/sponsorship.html b/website/templates/sponsorship.html
index f8807cf..224d87e 100644
--- a/website/templates/sponsorship.html
+++ b/website/templates/sponsorship.html
@@ -1,8 +1,11 @@
{% extends "base.html" %}
{% block title %}Sponsor Awesome Python{% endblock %}
-{% block description %}Sponsorship for awesome-python: tiers, audience, and how to get your product in front of professional Python developers evaluating tools for production use.{% endblock %}
+{% block description %}{{ sponsorship_description }}{% endblock %}
{% block canonical_url %}https://awesome-python.com/sponsorship/{% endblock %}
{% block alternate_links %}{% endblock %}
+{% block extra_head %}
+
+{% endblock %}
{% block header %}