{"package":"mteb","ecosystem":"pypi","latest_version":"2.12.16","description":"Massive Text Embedding Benchmark","license":null,"homepage":"https://pypi.org/project/mteb/","repository":"https://github.com/embeddings-benchmark/mteb","downloads_weekly":733832,"health":{"score":79,"risk":"moderate","breakdown":{"maintenance":25,"popularity":14,"security":25,"maturity":15,"community":0},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"2.12.16","total_count":725,"recent":["2.11.8","2.11.9","2.11.10","2.12.0","2.12.1","2.12.2","2.12.3","2.12.4","2.12.5","2.12.6","2.12.7","2.12.8","2.12.9","2.12.10","2.12.11","2.12.12","2.12.13","2.12.14","2.12.15","2.12.16"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":0,"first_published":null,"last_published":"2026-04-10T14:46:38.198154Z","dependencies_count":92,"dependencies":["datasets>=2.19.0","numpy<3.0.0,>=1.23.0","requests>=2.26.0","scikit-learn>=1.4.0","scipy>=1.14.0","sentence_transformers>=3.0.0","transformers<6.0.0,>=4.40.0","typing-extensions>=4.5.0","torch>=2.0.0","tqdm>1.0.0","rich>=13.0.0","pytrec-eval-terrier>=0.5.6","pydantic>=2.11.0","polars>=1.0.0","torchvision>0.2.1; extra == \"image\"","transformers[torch-vision,vision]; extra == \"image\"","torchaudio; extra == \"audio\"","datasets[audio]; extra == \"audio\"","codecarbon<3.0.0,>=2.0.0; extra == \"codecarbon\"","gradio==6.0.1; extra == \"leaderboard\"","plotly<6.0.0,>=5.24.0; extra == \"leaderboard\"","cachetools>=5.2.0; extra == \"leaderboard\"","matplotlib>=3.9.4; extra == \"leaderboard\"","pymongo>=4.15.5; extra == \"leaderboard\"","torchcodec; extra == \"video\"","peft>=0.11.0; extra == \"peft\"","FlagEmbedding==1.3.4; extra == \"flagembedding\"","einops>=0.8.0; extra == \"jina\"","peft>=0.15.2; extra == \"jina-clip\"","einops>=0.8.0; extra == \"jina-clip\"","transformers<5.0.0,>=4.52.0; extra == \"jina-clip\"","torchvision>=0.22.1; extra == \"jina-clip\"","timm<1.1.0,>=1.0.15; extra == \"jina-clip\"","peft>=0.15.2; extra == \"jina-v4\"","transformers<5.0.0,>=4.52.0; extra == \"jina-v4\"","torchvision>=0.22.1; extra == \"jina-v4\"","flash-attn>=2.6.3; extra == \"flash-attention\"","openai>=1.41.0; extra == \"openai\"","tiktoken>=0.8.0; extra == \"openai\"","model2vec>=0.3.0; extra == \"model2vec\"","pylate>=1.3.1; python_full_version < \"3.13\" and extra == \"pylate\"","transformers>=4.52.0; python_full_version < \"3.13\" and extra == \"pylate\"","msclap>=1.3.4; extra == \"msclap\"","soundfile>=0.13.1; extra == \"msclap\"","bm25s>=0.2.6; extra == \"bm25s\"","PyStemmer>=2.2.0.3; extra == \"bm25s\"","gritlm>=1.0.2; extra == \"gritlm\"","xformers>=0.0.29; extra == \"xformers\"","salesforce-lavis>=1.0.2; extra == \"blip2\"","voyageai<2.0.0,>0.3.0; extra == \"voyageai\"","voyageai<2.0.0,>0.3.0; extra == \"voyage-v\"","tenacity>9.0.0; extra == \"voyage-v\"","cohere==5.14.0; extra == \"cohere\"","vertexai==1.71.1; extra == \"vertexai\"","llm2vec<0.3.0,>=0.2.3; extra == \"llm2vec\"","timm<1.1.0,>=1.0.15; extra == \"timm\"","open_clip_torch==2.31.0; extra == \"open-clip-torch\"","einops>=0.8.1; extra == \"nomic\"","volcengine-python-sdk[ark]==3.0.2; extra == \"ark\"","tiktoken>=0.8.0; extra == \"ark\"","colpali_engine>=0.3.12; python_full_version < \"3.14\" and extra == \"colpali-engine\"","transformers>=4.57.0; extra == \"colqwen3\"","torchvision>=0.22.1; extra == \"colqwen3\"","sauerkrautlm-colpali>=0.1.0; python_full_version < \"3.14\" and extra == \"sauerkrautlm-colpali\"","huggingface_hub>=0.32.0; extra == \"xet\"","tencentcloud-sdk-python-common>=3.0.1454; extra == \"youtu\"","tencentcloud-sdk-python-lkeap>=3.0.1451; extra == \"youtu\"","transformers==4.51.0; extra == \"llama-embed-nemotron\"","transformers[torch]==4.49.0; extra == \"llama-nemotron-colembed-vl\"","torchvision>=0.22.0; extra == \"llama-nemotron-colembed-vl\"","flash-attn>=2.6.3; extra == \"llama-nemotron-colembed-vl\"","accelerate; extra == \"llama-nemotron-colembed-vl\"","transformers[torch]==5.0.0; extra == \"nemotron-colembed-vl-v2\"","torchvision>=0.22.0; extra == \"nemotron-colembed-vl-v2\"","flash-attn>=2.6.3; extra == \"nemotron-colembed-vl-v2\"","accelerate; extra == \"nemotron-colembed-vl-v2\"","transformers[torch]>=4.56.0; extra == \"llama-nemotron-embed-vl-1b-v2\"","torchvision>=0.22.0; extra == \"llama-nemotron-embed-vl-1b-v2\"","flash-attn>=2.6.3; extra == \"llama-nemotron-embed-vl-1b-v2\"","accelerate; extra == \"llama-nemotron-embed-vl-1b-v2\"","faiss-cpu>=1.12.0; extra == \"faiss-cpu\"","qwen_vl_utils>=0.0.14; extra == \"eager-embed\"","speechbrain>=0.5.12; extra == \"speechbrain\"","muq==0.1.0; extra == \"muq\"","wav2clip==0.1.0; extra == \"wav2clip\"","torch-vggish-yamnet==0.2.1; extra == \"torch-vggish-yamnet\"","vllm>=0.11.1; extra == \"vllm\"","transformers<5; extra == \"mctct\"","sentencepiece>=0.2.0; extra == \"siglip\"","protobuf>=3.0.0; extra == \"siglip\"","transformers>=4.57.0; extra == \"qwen-vl\"","qwen-vl-utils>=0.0.14; extra == \"qwen-vl\""]},"recommendation":{"action":"safe_to_use","issues":[],"use_version":"2.12.16","version_hint":null,"summary":"mteb@2.12.16 is safe to use (health: 79/100)"},"requested_version":null,"_cache":"miss","_response_ms":401,"_powered_by":"depscope.dev — free package intelligence for AI agents"}