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Hottest open-source projects in the last 24 hours

public-apis/public-apis · ⭐ 463,455 freeCodeCamp/freeCodeCamp · ⭐ 454,225 EbookFoundation/free-programming-books · ⭐ 394,659 openclaw/openclaw · ⭐ 386,598 nilbuild/developer-roadmap · ⭐ 364,786 vinta/awesome-python · ⭐ 314,559 awesome-selfhosted/awesome-selfhosted · ⭐ 313,366 practical-tutorials/project-based-learning · ⭐ 279,676 public-apis/public-apis · ⭐ 463,455 freeCodeCamp/freeCodeCamp · ⭐ 454,225 EbookFoundation/free-programming-books · ⭐ 394,659 openclaw/openclaw · ⭐ 386,598 nilbuild/developer-roadmap · ⭐ 364,786 vinta/awesome-python · ⭐ 314,559 awesome-selfhosted/awesome-selfhosted · ⭐ 313,366 practical-tutorials/project-based-learning · ⭐ 279,676

GitHub open-source trends

Repositories are grouped by type (Agent, multi-agent, inference, LLM libraries, etc.) with in-group comparison of stars, forks, commits, contributors, and open issues/PRs. Data comes from scheduled ingestion snapshots with explicit snapshot dates.

Snapshot

Open source · Live · GitHub + HF

Live source: HF Trending Snapshot source: GitHub grouped snapshot Estimated: Heat / VRAM

Hot models

24h Δ

Default order follows the Hugging Face trending list (7-day likes).

Grouped repository comparison

Each section lists repositories of the same class (e.g., Agent: OpenClaw, NanoBot, PicoClaw). Column meanings are consistent across groups. “Commits (30d)” follows the scraper’s rolling window.

Snapshot:

Data sources & methodology

Public formula (within each group): Score = 100 × [0.30·Stars + 0.15·Forks + 0.30·Commits30d + 0.15·Contributors + 0.05·(1-Issues) + 0.05·(1-PRs)], after per-group min-max normalization.

Agent

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 openclaw/openclaw 96.6 386,598 81,238 9,781 3,108 5,713 2
2 NousResearch/hermes-agent 58.8 232,196 46,269 7,299 2,896 32,879 5
3 deepseek-ai/deepseek-harness 42.7 154,829 16,019 9,158 33 0 0
4 langchain-ai/langchain 29.8 144,444 24,045 176 3,714 410 84
5 affaan-m/ECC 29.6 240,792 36,523 156 318 132 90
6 Significant-Gravitas/AutoGPT 26.4 186,662 46,061 105 839 506 218
7 Shubhamsaboo/awesome-llm-apps 13.1 133,031 19,574 75 106 13 7
8 firecrawl/firecrawl 12.6 168,780 9,437 138 170 521 454
9 langflow-ai/langflow 10.3 153,393 9,879 364 371 967 753
10 farion1231/cc-switch 5.7 127,961 8,756 192 211 2,235 758

Multi-agent

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 lobehub/lobehub 78.1 81,792 15,806 712 352 755 458
2 TauricResearch/TradingAgents 50.6 98,733 19,030 0 20 365 183
3 danny-avila/LibreChat 40.6 42,167 8,727 313 391 703 347
4 openai/openai-agents-python 40.4 28,732 4,527 377 354 12 3
5 zhayujie/CowAgent 37.4 46,542 10,319 199 144 33 14
6 FoundationAgents/MetaGPT 36 69,874 8,885 0 148 129 113
7 Yeachan-Heo/oh-my-claudecode 24.4 38,625 3,471 124 140 2 0
8 wshobson/agents 18 38,881 4,141 16 79 16 7
9 OpenBMB/ChatDev 12.6 34,014 4,245 3 19 67 21
10 agentscope-ai/agentscope 11.8 29,006 3,369 51 97 367 111

Inference

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 ggml-org/llama.cpp 73.2 124,446 21,842 414 1,912 2,103 1
2 BerriAI/litellm 66.6 56,603 10,672 2,347 1,595 4,934 3
3 earendil-works/pi 50.3 92,672 11,476 731 281 140 48
4 sgl-project/sglang 47 31,995 7,971 1,358 1,774 4,927 4
5 microsoft/onnxruntime 19.5 21,399 4,131 265 966 1,580 764
6 k2-fsa/sherpa-onnx 13.2 14,228 1,632 70 230 615 53
7 GeeeekExplorer/nano-vllm 12 15,040 2,470 0 15 81 51
8 abetlen/llama-cpp-python 10.8 10,560 1,441 7 195 680 82
9 h2oai/h2ogpt 10.7 11,972 1,302 0 78 328 36
10 niedev/RTranslator 10 10,330 938 0 12 26 1

LLM library

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 huggingface/transformers 71.5 164,211 34,264 263 4,067 2,395 1
2 unslothai/unsloth 44.9 73,350 6,614 1,215 276 1,278 393
3 fighting41love/funNLP 26.8 82,521 15,265 0 13 53 9
4 router-for-me/CLIProxyAPI 21.2 47,679 7,372 387 239 388 337
5 asgeirtj/system_prompts_leaks 20.9 63,097 10,357 50 25 56 35
6 sickn33/antigravity-awesome-skills 20.5 45,082 6,597 211 327 0 0
7 labmlai/annotated_deep_learning_paper_implementations 19.3 67,312 6,743 0 42 34 6
8 ComposioHQ/awesome-claude-skills 18.8 72,700 8,310 2 29 1,283 1
9 langfuse/langfuse 18.3 33,298 3,583 578 197 784 483
10 huggingface/pytorch-image-models 12.5 37,071 5,186 18 198 61 19

Training framework

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 pytorch/pytorch 70.7 102,450 28,900 1,401 6,856 17,078 3
2 vllm-project/vllm 54.4 89,321 20,830 1,200 3,223 6,678 4
3 AUTOMATIC1111/stable-diffusion-webui 48.8 164,557 30,553 0 638 2,502 80
4 tensorflow/models 30.7 77,652 44,897 16 959 1,274 198
5 Comfy-Org/ComfyUI 30.4 128,195 15,095 179 338 4,619 518
6 rasbt/LLMs-from-scratch 25.5 102,869 15,763 4 68 2 0
7 keras-team/keras 20.2 64,239 19,750 75 1,551 224 86
8 ultralytics/ultralytics 18.8 60,714 11,587 345 424 167 119
9 ultralytics/yolov5 14.8 57,894 17,473 31 349 31 1
10 CorentinJ/Real-Time-Voice-Cloning 10.5 60,091 9,398 0 20 177 8

Serving

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 open-webui/open-webui 93.3 149,090 21,716 359 863 356 165
2 Mintplex-Labs/anything-llm 30.8 64,859 7,144 60 224 332 31
3 AlexsJones/llmfit 24.5 32,490 2,007 128 94 67 21
4 1Panel-dev/1Panel 23 36,568 3,299 90 128 289 14
5 chatchat-space/Langchain-Chatchat 20 38,546 6,262 0 173 26 20
6 janhq/jan 18.6 44,038 2,972 46 181 452 89
7 PDFMathTranslate/PDFMathTranslate 14.5 36,207 3,231 0 57 147 23
8 lm-sys/FastChat 11.7 39,513 4,785 0 246 1,039 144
9 lss233/kirara-ai 10.6 18,945 1,835 0 48 4 1
10 Zackriya-Solutions/meetily 7.7 29,339 3,124 0 12 348 134

Evaluation

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 confident-ai/deepeval 64.6 17,655 1,820 202 329 467 221
2 bitnami/charts 55.9 10,399 10,338 9 2,772 4 2
3 prometheus-community/helm-charts 39.7 6,169 5,382 70 1,799 193 84
4 helmfile/helmfile 20 5,176 359 31 394 25 11
5 open-compass/opencompass 18.7 7,313 842 30 183 376 92
6 komodorio/helm-dashboard 18.6 5,744 360 24 57 19 1
7 omerbsezer/Fast-Kubernetes 11.8 3,621 1,359 0 5 4 3
8 stackrox/kube-linter 10.9 3,499 273 10 94 89 12
9 helm/chartmuseum 9.9 3,837 407 1 88 116 25
10 roboll/helmfile 7.5 4,034 552 0 224 527 11

RAG / vector search

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 qdrant/qdrant 68.8 34,036 2,584 532 191 694 205
2 milvus-io/milvus 67.6 45,676 4,183 225 368 1,289 359
3 langchain4j/langchain4j 38.1 12,891 2,467 158 461 853 243
4 chroma-core/chroma 33.9 29,075 2,447 45 194 788 456
5 simdjson/simdjson 32.5 24,155 1,271 28 191 136 16
6 Tencent/APIJSON 27.9 18,398 2,275 31 96 241 3
7 datawhalechina/all-in-rag 26.9 10,422 5,166 2 11 23 8
8 svcvit/Awesome-Dify-Workflow 14 10,747 1,082 0 2 24 6
9 gka/chroma.js 13.2 10,575 551 0 43 76 15
10 std-microblock/chromatic 10 8,366 394 0 1 4 0

Snapshot data, not live GitHub streaming. Updates run through scheduled REST/GraphQL ingestion, JSON write, and rebuild.

GitHub-centric signals

Repositories, stars, forks, issues/PRs, release cadence, and topic tags are primary inputs; aggregate by organization, language, or topics for comparison.

Browse projects on GitHub Explore

Metrics

Grouped tables above list stars, forks, commits (30d), contributors, and open issues/PRs. Additional metrics may include star velocity, discussion volume, release cadence, or security signals—by day, week, or month.

Ingestion and refresh

GitHub REST/GraphQL, public datasets, or aggregators such as RSSHub; scheduled Actions to fetch, normalize, and write JSON or read-only stores, then ship static pages or read-only edge APIs.

Types and domains

  • LLM / inference stacks (serving, kernels, quantization-related repositories)
  • Agents, multi-agent frameworks, tool use, orchestration
  • Evaluations, benchmarks, datasets, reproducible leaderboards
  • Training, fine-tuning, alignment, engineering toolchains
  • Local deployment, inference services, edge stacks
  • Data, RAG, retrieval, vector-store ecosystems

Common misreadings

  • Equating stars with model quality—hype may diverge from benchmark strength.
  • Relying on short windows only—spikes may reflect campaigns; longer commit curves carry more signal.
  • Ignoring issues/PRs—healthy projects often show dense maintenance beyond stars.
  • Mixing personal and organization repositories—governance and release cadence may differ materially.
  • Treating GitHub as the entire ecosystem—important work may be closed-source or hosted elsewhere.

Further reading

Weekly AI industry brief

For the week ending August 18, 2026, this Hugging Face hot list tracks 50 entries. By 24-hour growth, standouts include "Muse-Glimmer-30B-GGUF", "LTX-2.5", "Qwen3.8-27B-FP8", "Qwen3.8-27B", "Qwen3.8-27B-Uncensored-GGUF". Organizations appearing most often near the top include Qwen, unsloth, MiniMaxAI, deepseek-ai—a sign that releases, forks, and task pipelines remain fast-moving.

About 48 row(s) are flagged as newly listed in this snapshot, which usually means fresh weights, quant formats, or pipeline tags entering the cohort.

On tokens / hosting: Hacker News highlights “Why is Anthropic's public writing style so unlike Claude's?”; Hacker News highlights “I wasted four months waiting for Anthropic to review my MCP”; Hacker News highlights “OpenAI has the right strategy, but is unlucky”. These cues tie to pricing, regions, and rollout cadence for hosted inference.

The grouped GitHub comparison below spans 8 ecosystem segments so you can contrast model buzz with engineering activity (stars, commits, issues/PRs).

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