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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools>=67.0", "wheel", "setuptools_scm[toml]>=6.2"]
build-backend = "setuptools.build_meta"
[tool.setuptools.package-data]
"vectordb_bench.results" = ["*.json"]
[tool.setuptools.packages.find]
where = ["."]
include = ["vectordb_bench", "vectordb_bench.cli"]
[project]
name = "vectordb-bench"
authors = [
{name="XuanYang-cn", email="[email protected]"},
]
description = "VectorDBBench is not just an offering of benchmark results for mainstream vector databases and cloud services, it's your go-to tool for the ultimate performance and cost-effectiveness comparison. Designed with ease-of-use in mind, VectorDBBench is devised to help users, even non-professionals, reproduce results or test new systems, making the hunt for the optimal choice amongst a plethora of cloud services and open-source vector databases a breeze."
readme = "README.md"
requires-python = ">=3.11"
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
dependencies = [
"click",
"pytz",
"streamlit-autorefresh",
"streamlit!=1.34.0",
"streamlit_extras",
"tqdm",
"s3fs",
"oss2",
"psutil",
"polars",
"plotly",
"environs",
"pydantic<v2",
"scikit-learn",
"pymilvus", # with pandas, numpy, ujson
]
dynamic = ["version"]
[project.optional-dependencies]
test = [
"ruff",
"pytest",
]
all = [
"grpcio==1.53.0", # for qdrant-client and pymilvus
"grpcio-tools==1.53.0", # for qdrant-client and pymilvus
"qdrant-client",
"pinecone-client",
"weaviate-client",
"elasticsearch",
"sqlalchemy",
"redis",
"chromadb",
"pgvector",
"psycopg",
"psycopg-binary",
"pgvecto_rs[psycopg3]>=0.2.2",
"opensearch-dsl",
"opensearch-py",
"memorydb",
"alibabacloud_ha3engine_vector",
"alibabacloud_searchengine20211025",
]
qdrant = [ "qdrant-client" ]
pinecone = [ "pinecone-client" ]
weaviate = [ "weaviate-client" ]
elastic = [ "elasticsearch" ]
# For elastic and aliyun_elasticsearch
pgvector = [ "psycopg", "psycopg-binary", "pgvector" ]
# for pgvector, pgvectorscale, pgdiskann, and, alloydb
pgvecto_rs = [ "pgvecto_rs[psycopg3]>=0.2.2" ]
redis = [ "redis" ]
memorydb = [ "memorydb" ]
chromadb = [ "chromadb" ]
opensearch = [ "opensearch-py" ]
aliyun_opensearch = [ "alibabacloud_ha3engine_vector", "alibabacloud_searchengine20211025"]
[project.urls]
"repository" = "https://github.com/zilliztech/VectorDBBench"
[project.scripts]
init_bench = "vectordb_bench.__main__:main"
vectordbbench = "vectordb_bench.cli.vectordbbench:cli"
[tool.setuptools_scm]