Package Health Score

76 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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roc
42

Popularity

Small

GitHub Stars: 229
Forks: 32
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package vecs, we found that it has been starred 229 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 13, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 9
Open PR: 1
Last Release: 5 days ago
Last Commit: 2 months ago

Further analysis of the maintenance status of vecs based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that vecs demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: No
Code of Conduct: Yes
Contributors: 20
Funding: Yes

With more than 10 contributors for the vecs repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: ==3.10.*, ==3.11.*, ==3.12.*, ==3.8.*, ==3.9.*

Age: 2 years
Latest Release: 5 days ago
Dependencies: N/A
Versions: 14
Maintainers: 0
Wheels: No

Readme

vecs

Documentation: https://supabase.github.io/vecs/latest/

Source Code: https://github.com/supabase/vecs

vecs is a python client for managing and querying vector stores in PostgreSQL with the pgvector extension. This guide will help you get started with using vecs.

If you don't have a Postgres database with the pgvector ready, see hosting for easy options.

Installation

Requires:

Python 3.7+

You can install vecs using pip:

pip install vecs

Usage

Visit the quickstart guide for more complete info.

import vecs

DB_CONNECTION = "postgresql://:@:/"

# create vector store client
vx = vecs.create_client(DB_CONNECTION)

# create a collection of vectors with 3 dimensions
docs = vx.get_or_create_collection(name="docs", dimension=3)

# add records to the *docs* collection
docs.upsert(
    records=[
        (
         "vec0",           # the vector's identifier
         [0.1, 0.2, 0.3],  # the vector. list or np.array
         {"year": 1973}    # associated  metadata
        ),
        (
         "vec1",
         [0.7, 0.8, 0.9],
         {"year": 2012}
        )
    ]
)

# index the collection for fast search performance
docs.create_index()

# query the collection filtering metadata for "year" = 2012
docs.query(
    data=[0.4,0.5,0.6],              # required
    limit=1,                         # number of records to return
    filters={"year": {"$eq": 2012}}, # metadata filters
)

# Returns: ["vec1"]

FAQs

What is vecs?

pgvector client. Visit Snyk Advisor to see a full health score report for vecs, including popularity, security, maintenance & community analysis.

Is vecs popular?

The python package vecs receives a total of 3,608 weekly downloads. As such, vecs popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is vecs well maintained?

We found that vecs demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is vecs safe to use?

The python package vecs was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 15 December-2024, at 10:42 (UTC).

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vecs

pgvector client For more information about how to use this package see README

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vecs

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Readme

vecs

Installation

Usage

FAQs

What is vecs?

Is vecs popular?

Is vecs well maintained?

Is vecs safe to use?

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Source Code

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