OrganizationBytedance Inc.
@bytedance β’ Open source projects from bytedance. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
77%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
29 repos
Visible snapshot
13 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (16), Unknown (4), C++ (3)
Average size
138
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-09-15(41d ago)GitHub API fallback29 repositories
77%
of the visible star count comes from this organization's top three repositories.
138
stars per repository in this same snapshot.
Python
is the most common language here, with 13 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 29 repositories.
Balanced portfolio across 29 reposTop 3 share 77%
Organization pages work best when you separate portfolio breadth from flagship concentration. In Bytedance Inc.'s case, the visible top three repositories account for about 77% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (16), Unknown (4), C++ (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | bytedance/Lance A 3B-active-parameter native unified multimodal model for image and video understanding, generation, and editing. | Python | 1.4K |
| 2 | bytedance/Bernini Bernini is a unified framework for video generation and editing that combines an MLLM-based semantic planner with a DiT-based renderer. | Python | 1.3K |
| 3 | bytedance/DanceUI | Swift | 374 |
| 4 | bytedance/PXDesign Official repository of PXDesign | Python | 271 |
| 5 | bytedance/bolt | C++ | 181 |
| 6 | bytedance/GRN [ECCV 2026] Generative Refinement Networks for Visual Synthesis (Support C2I & T2I & T2V) | Python | 168 |
| 7 | bytedance/AnewOmni Codes for our paper "Programming Biomolecular Interactions with All-Atom Generative Model" | Python | 109 |
| 8 | bytedance/UniVR Official Codebase For NeurIPS-26 Work: UniVR | Python | 33 |
| 9 | bytedance/TableVerse | 25 | |
| 10 | bytedance/EvoQuality Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking (ICLR 2026) | Python | 25 |
| 11 | bytedance/SIFThinker SIFThinker: Spatially-Aware Image Focus for Visual Reasoning | Python | 15 |
| 12 | bytedance/safepyramid SafePyramid: A Hierarchical Benchmark for In-context Policy Guardrailing | Python | 13 |
| 13 | bytedance/FLAC FLAC | Python | 13 |
| 14 | bytedance/laqx | Python | 12 |
| 15 | bytedance/CrossCheck-Bench | 10 | |
| 16 | bytedance/DanceUIGraph | C++ | 9 |
| 17 | bytedance/TTSonic | JavaScript | 8 |
| 18 | bytedance/CARD The official repository for "CARD: Coarse-to-fine Autoregressive Modeling with Radix-based Decomposition for Transferable Free Energy Estimation" published in ICML 2026. | Python | 8 |
| 19 | bytedance/DanceUIRuntime | C++ | 8 |
| 20 | bytedance/AC-MIL | Python | 6 |
| 21 | bytedance/Disc3D | Python | 6 |
| 22 | bytedance/SAEP-demo SAEP protocol demo (θ±ε ζζΊε©ζ) | Java | 5 |
| 23 | bytedance/conan-center-index Recipes for the ConanCenter repository | 2 | |
| 24 | bytedance/pangle-ios-specs | Ruby | 1 |
| 25 | bytedance/LPCD | Python | 1 |
| 26 | bytedance/AdsGlobalPackage-Beta | Swift | 0 |
| 27 | bytedance/MedLesionVQA | 0 | |
| 28 | bytedance/Multimodal-cfDNA-AI | Python | 0 |
| 29 | bytedance/WinDivert WinDivert: Windows Packet Divert | C | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.