Among the top 10 tech companies and beyond, they have the most successful open source program.
These projects come to my mind:
SAM segment anything.
PyTorch
LLama
...
Open source datacenters and server blueprints.
the following instead comes from grok.com
Meta’s open-source hall of fame (Nov 2025)
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Llama family (2 → 3.3) – 2023-2025
>500k total stars · powers ~80% of models on Hugging Face
Single-handedly killed the closed frontier model monopoly
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PyTorch – 2017
85k+ stars · the #1 ML framework in research
TensorFlow is basically dead in academia now
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React + React Native – 2013/2015
230k + 120k stars
Still the de-facto UI standard for web & mobile
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FAISS – 2017
32k stars · used literally everywhere (even inside OpenAI)
The vector similarity search library
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Segment Anything (SAM 1 & 2) – 2023-2024
55k stars
Revolutionized image segmentation overnight
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Open Compute Project – 2011
Entire open-source datacenter designs (servers, racks, networking, power)
Google, Microsoft, Apple, and basically the whole hyperscaler industry build on OCP blueprints
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Zstandard (zstd) – 2016
Faster than gzip · now in Linux kernel, NVIDIA drivers, Cloudflare, etc.
The new compression king
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Buck2 – 2023
Rust build system, 3-5× faster than Buck1
Handles Meta’s insane monorepo without dying
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Prophet – 2017 · 20k stars
Go-to time-series forecasting library for business
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Hydra – 2020 · 9k stars
Config management that saved the sanity of ML researchers
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Docusaurus – 2017 · 55k stars
Powers docs for React, Jest, Babel, etc.
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Velox – 2022
C++ query engine · backbone of next-gen Presto/Trino
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Sapling – 2023
Git replacement that actually works at 10M+ file scale
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Meta’s GitHub org is now >3 million stars total — more than Google + Microsoft + Amazon combined.
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Bottom line: if you’re using modern AI in 2025, there’s a ~90% chance you’re running on something Meta open-sourced for free.
