待翻譯:The Open Source AI Popularity Leaderboard from Scarf
AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Open Source AI Popularity Leaderboard This list ranks AI providers based on the number of unique organizations Scarf sees downloading all open source packages tied to them, across billions of OSS downloads daily. Need h…
AI 服務暫時不可用,以下為來源正文,待恢復後補全翻譯。
Open Source AI Popularity Leaderboard This list ranks AI providers based on the number of unique organizations Scarf sees downloading all open source packages tied to them, across billions of OSS downloads daily. Need historical data, deeper insights, a live feed, or API access? Contact [email protected]. Snapshot from August 9, 2026 Foundation model provider packages Open source SDKs and packages for interacting with providers that develop their own foundation models. Providers are ranked only against other foundation model providers. RankProviderDaily trendChange 1OpenAI0 2Google Gemini0 3Anthropic0 4DeepSeek2 5Alibaba Cloud1 6Mistral AI1 7Zhipu AI (GLM)1 8ByteDance (Doubao)1 9IBM watsonx0 10Cohere1 11Voyage AI1 12MiniMax2 13Jina AI1 14Stability AI1 15Nomic0 16Baidu (ERNIE)0 17ElevenLabs2 18Meta0 19Tencent Hunyuan1 20Deepgram3 21Kimi0 Inference platform packages Open source SDKs and packages for interacting with APIs, runtimes, and cloud services used to run or call models. This includes cloud platforms and foundation model providers with hosted APIs, so a provider can appear in both lists and rank differently against the broader peer set. RankProviderDaily trendChange 1OpenAI0 2Amazon Bedrock0 3Google Gemini1 4Anthropic1 5Amazon SageMaker2 6Ollama0 7Microsoft Azure0 8DeepSeek2 9Alibaba Cloud1 10Mistral AI1 11Zhipu AI (GLM)2 12Hugging Face0 13ByteDance (Doubao)2 14LocalAI3 15IBM watsonx0 16Cohere2 17Voyage AI1 18Oracle OCI Generative AI1 19MiniMax4 20GitHub Models6 21Jina AI1 22Stability AI0 23Cloudflare3 24OVHcloud AI Endpoints3 25Nomic1 26Baidu (ERNIE)1 27ElevenLabs5 28Meta1 29LM Studio2 30Tencent Hunyuan3 31Xinference1 32NVIDIA TensorRT / Triton2 33Deepgram5 34Kimi1 35llama.cpp10 36RunPod1 How the leaderboard works Scarf uses aggregated, organization-level signals from downloads of open source packages to measure how broadly AI providers and platforms are being adopted. Open source package signalsWe include downloads of packages that can be confidently associated with a provider or platform and exclude ambiguous activity. The index does not observe API calls or model execution. Organization-level rankingProviders are ranked by the breadth of observed adoption, not raw downloads, API traffic, model quality, or revenue. Daily snapshotsRankings update daily. Sparklines show daily unique organizations, while change compares rank with the same category 30 days earlier. When a package identifies a gateway, router, or model-serving platform, we attribute adoption to that platform. The package usually does not reveal which underlying model was used, so we do not infer one. This leaderboard is a directional view of observable open source package adoption, not a complete market-share estimate. Package coverage varies by provider and ecosystem. Individual organizations and their activity are not published. Sign up for our newsletter Real news and infrequent announcements about what we’re up to at Scarf: product releases, tool updates, open betas, job opportunities, and more. We care about the protection of your data. Read our Privacy policy.