What is Obsei used for?

Obsei is a low-code, AI-powered automation tool in Python that collects text from social and review sources, analyzes it, and sends results to other systems. It is a good fit for social listening on brand mentions, auto-creating support tickets from complaints and alerting on qualified sales leads in text.

Is Obsei open source?

Yes. Obsei is open source under the Apache-2.0 licence. Its source code is on GitHub at obsei/obsei and is written mainly in Python.

Yes. Obsei is open source, so the software itself is free to use.

What are some alternatives to Obsei?

Similar open-source tools in the Workflow Automation category include AstronRPA, UFO and Errbot. SaaS products in the same category include Pipefy, Apple Shortcuts and Decisions.

Is Obsei actively maintained?

Yes. The most recent commit to Obsei was on 25 September 2026, and the latest release is v0.0.15, published on 31 December 2023. The project has 1.4k stars on GitHub.

Obsei: open-source workflow automation

About Obsei

Obsei is an open-source, low-code automation tool that uses AI to process unstructured text. It is built around three kinds of components: observers that collect data, analyzers that run AI tasks on it, and informers that send the results onward, so you can build social listening and alerting workflows without writing a lot of glue code.

Observers can gather content such as tweets, Reddit comments, Facebook post comments, app store reviews, Google reviews, Amazon reviews, news and website text. Analyzers apply tasks like classification, sentiment analysis, translation and PII detection, and informers deliver output to ticketing platforms, data storage or dataframes. Observers can store their state in SQLite, Postgres or MySQL, making Obsei suitable for scheduled jobs and serverless setups.

Typical use cases listed in the README include social listening, automatic alerts for complaints or qualified leads, creating customer issues from social media and email, and tagging tickets from complaint content. Obsei is written in Python and licensed under Apache-2.0. The README warns that it is in alpha, so the master branch may include breaking changes and released versions are advised.

Key features

Observers for social, review, and news sources
Sentiment analysis and classification
Translation and PII detection
Informers that send results to ticketing tools
State storage in SQLite, Postgres, or MySQL
Suitable for scheduled and serverless jobs

Good fit for

→Social listening on brand mentions
→Auto-creating support tickets from complaints
→Alerting on qualified sales leads in text

Built with: Python
Tags: nlp; social-listening; sentiment-analysis; automation; low-code; python; text-analytics; customer-support; workflow

Obsei: questions and answers

What is Obsei used for?: Obsei is a low-code, AI-powered automation tool in Python that collects text from social and review sources, analyzes it, and sends results to other systems. It is a good fit for social listening on brand mentions, auto-creating support tickets from complaints and alerting on qualified sales leads in text.
Is Obsei open source?: Yes. Obsei is open source under the Apache-2.0 licence. Its source code is on GitHub at obsei/obsei and is written mainly in Python.
Is Obsei free?: Yes. Obsei is open source, so the software itself is free to use.
What are some alternatives to Obsei?: Similar open-source tools in the Workflow Automation category include AstronRPA, UFO and Errbot. SaaS products in the same category include Pipefy, Apple Shortcuts and Decisions.
Is Obsei actively maintained?: Yes. The most recent commit to Obsei was on 25 September 2026, and the latest release is v0.0.15, published on 31 December 2023. The project has 1.4k stars on GitHub.