Q: How can I do Twitter analytics in a Jupyter notebook without wrangling the Twitter API?

This page summarizes the projects mentioned and recommended in the original post on /r/Python

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • steampipe

    Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.

  • A: Use Steampipe and the Twitter plugin, write simple SQL queries that call the APIs for you, pull results into dataframes.

  • steampipe-plugin-twitter

    Use SQL to instantly query tweets, users and followers from Twitter. Open source CLI. No DB required.

  • A: Use Steampipe and the Twitter plugin, write simple SQL queries that call the APIs for you, pull results into dataframes.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts