PyPI page
Author:
VDBBench teams
Summary:
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.
Latest version:
2.0.0
Required dependencies:
click
|
environs
|
h5py
|
hdrhistogram
|
huggingface-hub
|
ir-datasets
|
matplotlib
|
oss2
|
plotly
|
polars
|
psutil
|
pydantic
|
pymilvus
|
pytz
|
pyyaml
|
s3fs
|
scikit-learn
|
streamlit
|
tornado
|
tqdm
|
ujson
Optional dependencies:
alibabacloud-ha3engine-vector
|
black
|
boto3
|
chromadb
|
clickhouse-connect
|
doris-vector-search
|
elasticsearch
|
endee
|
flask
|
lancedb
|
mariadb
|
memorydb
|
mysql-connector-python
|
mysqlclient
|
opensearch-py
|
pgvecto-rs
|
pgvector
|
pinecone
|
psycopg
|
psycopg-binary
|
pymongo
|
pymysql
|
pytest
|
pyvespa
|
qdrant-client
|
redis
|
requests
|
requests-aws4auth
|
ruff
|
turbopuffer
|
weaviate-client
|
zvec
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