Package Health Score

72 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Active

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Popularity

Limited

GitHub Stars: 322
Forks: 37
Contributors: 480

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package gigachain-anthropic, we found that it has been starred 322 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 28, 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

MIT

Security Policy

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Maintenance

Sustainable

Commit Frequency

No Recent Commits

Open Issues: 13
Open PR: 6
Last Release: 4 months ago
Last Commit: 2 months ago

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

We found that gigachain-anthropic demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 480
Funding: No

A good and healthy external contribution signal for gigachain-anthropic project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: <4.0,>=3.8.1

Age: 8 months
Latest Release: 4 months ago
Dependencies: 0 Direct
Versions: 5
Maintainers: 0
Wheels: OS Independent

Readme

langchain-anthropic

This package contains the LangChain integration for Anthropic's generative models.

Installation

pip install -U langchain-anthropic

Chat Models

Anthropic recommends using their chat models over text completions.

You can see their recommended models here.

To use, you should have an Anthropic API key configured. Initialize the model as:

from langchain_anthropic import ChatAnthropic
from langchain_core.messages import AIMessage, HumanMessage

model = ChatAnthropic(model="claude-3-opus-20240229", temperature=0, max_tokens=1024)

Define the input message

message = HumanMessage(content="What is the capital of France?")

Generate a response using the model

response = model.invoke([message])

For a more detailed walkthrough see here.

LLMs (Legacy)

You can use the Claude 2 models for text completions.

from langchain_anthropic import AnthropicLLM

model = AnthropicLLM(model="claude-2.1", temperature=0, max_tokens=1024)
response = model.invoke("The best restaurant in San Francisco is: ")

FAQs

What is gigachain-anthropic?

An integration package connecting AnthropicMessages and LangChain. Visit Snyk Advisor to see a full health score report for gigachain-anthropic, including popularity, security, maintenance & community analysis.

Is gigachain-anthropic popular?

We’re still processing downloads data for the python package gigachain-anthropic. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is gigachain-anthropic well maintained?

We found indications that gigachain-anthropic maintenance is sustainable demonstrating some project activity. We saw a total of 480 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is gigachain-anthropic safe to use?

The python package gigachain-anthropic 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 14 December-2024, at 14:44 (UTC).

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gigachain-anthropic

An integration package connecting AnthropicMessages and LangChain For more information about how to use this package see README

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Package Health Score

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Popularity

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Package

Readme

langchain-anthropic

Installation

Chat Models

Define the input message

Generate a response using the model

LLMs (Legacy)

FAQs

What is gigachain-anthropic?

Is gigachain-anthropic popular?

Is gigachain-anthropic well maintained?

Is gigachain-anthropic safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Snyk Vulnerability Scanner

Readme

langchain-anthropic

Installation

Chat Models

Define the input message

Generate a response using the model

LLMs (Legacy)

FAQs

What is gigachain-anthropic?

Is gigachain-anthropic popular?

Is gigachain-anthropic well maintained?

Is gigachain-anthropic safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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