boto/boto3

Boto3, an AWS SDK for Python

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Summary Information

Updated 30 minutes ago
Added to GitGenius on September 6th, 2026
Created on October 3rd, 2014
Open Issues & Pull Requests: 191 (+0)
GitHub issues: Enabled
Number of forks: 1,988
Total Stargazers: 9,898 (+0)
Total Subscribers: 228 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 19.6 hours
Mean response time: 6.1 days
90th percentile: 6.6 days
Tracked items: 501

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 3% of issues opened in the past year have been closed. Three people close 63% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 92
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,204 days
Stale 30+ days: 84
Stale 90+ days: 38

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (273)
  • p3 (223)
  • p2 (171)
  • response-requested (142)
  • feature-request (125)
  • service-api (110)
  • documentation (102)
  • s3 (99)

Most active issues this week

Detailed Description

Boto3 is the AWS SDK for Python that enables developers to write software integrating with Amazon Web Services like S3 and EC2.

Boto3 solves the problem of programmatically accessing AWS services from Python applications. It provides a client interface that abstracts the complexity of AWS API interactions, allowing developers to call AWS service operations using Python method calls rather than constructing raw HTTP requests. The SDK handles authentication, request formatting, response parsing, and error handling automatically.

Developers choosing Boto3 should know it is the official AWS SDK maintained by Amazon Web Services and is the standard tool for Python-based AWS integration. It suits any Python project that needs to interact with AWS services, from simple scripts managing S3 buckets to complex applications orchestrating multiple AWS resources. The tool supports a broad range of AWS services and is well-documented with examples for each supported service.

The project maintains active engagement with its user community through GitHub issues for bug tracking and feature requests, directing users to Stack Overflow for general questions and AWS Support for production issues. Development follows a structured testing approach using tox and pytest across multiple Python versions. The project explicitly manages Python version support, with deprecation notices communicated through blog posts when runtime support ends.