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obsei
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obsei

Active·★ 1.4k·Apache-2.0·Updated 2026-10-21
★ Trending

Obsei is an open-source, low-code, AI-powered automation tool for unstructured text. It has three parts. The Observer collects data from sources such as Twitter, Reddit comments, Facebook posts, app store, Google and Amazon reviews, news and websites. The Analyzer applies AI tasks such as classification, sentiment analysis, translation and PII detection. The Informer sends results to ticketing platforms, data stores, dataframes and other destinations so people can act on them.

Install with `pip install obsei[all]` or pick extras to keep it small: `obsei[analyzer]` pulls in PyTorch, and there are extras for Twitter, Pandas/CSV, Elasticsearch, Jira (Atlassian API) and Slack. The README shows Python snippets for each source and destination, runs on Python 3.7 or later, and offers a hosted demo on Hugging Face Spaces. Typical uses are monitoring customer feedback, routing negative reviews to a support queue and masking personal data before storage.

Read the status note: the README says Obsei is still in alpha, should be used carefully in production, and that the master branch can contain breaking changes, so pin a released version. Licensing is Apache 2.0 overall, with other permissive or weak-copyleft licences for third-party components, and the project says it avoids components under strong copyleft licences such as GPL or AGPL. Last push was 2026-10-09. This review is based on the README and repository data; we have not run it ourselves.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-22.

License
Apache-2.0
Latest release
v1.1.1 · 2026-10-17
Last commit
2026-10-21
Contributors
18
Forks
179
Open issues and PRs
6
First published
2020-10-25
PyPI package
obsei 1.1.1 · 696 downloads last week

Source: GitHub, npm and PyPI public APIs.

#AI#Automation#Low-code#Data Collection#NLP#Coding#Data Analysis#Image Generation
$ Install
$ pip install obsei[all]
↗ Visit site★ GitHub
01

Features

01Unstructured Data Collection from diverse sources (Observer).
02AI-powered Data Analysis including sentiment, classification, and translation (Analyzer).
03Automated Data Dissemination to various platforms (Informer).
04Low-code framework for easy automation setup and workflow creation.
05State management with database support (Sqlite, Postgres, MySQL) for scheduled and serverless operations.
02

Why choose it

+Observer, Analyzer and Informer pipeline in Python, from reviews and posts to Slack, Jira or Elasticsearch
+Analysis tasks include classification, sentiment, translation and PII detection
+Modular extras keep installs small; Hugging Face demo for a quick try
+Apache 2.0, and the README says it avoids strong copyleft dependencies
03

Trade-offs

!The README says it is still alpha with possible breaking changes on master, so pin a release
!`obsei[analyzer]` installs PyTorch, which makes the install heavy
!Collecting from social platforms and review sites depends on their APIs and terms, which you must follow
!It handles personal text data, so check privacy rules before storing or forwarding it
04

Maintenance check

ActiveChecked: 2026-10-23
Last commit
2026-10-17
Commits, last 90 days
100+
Releases, last 90 days
10
Latest release
v1.1.1 (2026-10-17)
Open issues
6
Recent issues with at least one comment
0/1
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 0, 0, 0, 0, 0, 0, 0, 0, 0, 66, 50, 0

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #247 [Observer] Add Youtube Transcript support3 comments · 2022-06-01
  • #196 Add support for drift detection1 comments · 2021-09-26
  • #17 Add Telegram as Informer/Sink1 comments · 2021-01-24
  • #479 DemonRoute as a privacy-first option for the llms base_url slot0 comments · 2026-10-21

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

05

Compatibility

Twitter
Supported
Verified via docs
Youtube
Supported
Verified via docs
Facebook
Supported
Verified via docs
Email
Supported
Verified via docs
Google Maps Reviews
Supported
Verified via docs
AppStore Reviews
Supported
Verified via docs
06

Quick start

1
$ pip install obsei[all]
07

Use cases

↳Social listening for monitoring social media posts, comments, and customer feedback.
↳Automated alerting and notification for critical events like customer complaints or qualified sales leads.
↳Automatic customer issue creation and intelligent tagging based on incoming complaints from social media or email.
08

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Quick start07Use cases08Alternatives
obsei /
obsei
↗

Apache-2.0 low-code toolkit that collects reviews and social posts, runs AI analysis such as sentiment and PII detection, and sends results to tools like Slack and Jira

1.4k179Apache-2.0
Last commit4d ago
StatusActive
CategoryData Processing
Contributors18
Latest releasev1.1.1
Links
Documentation↗Discussion↗Issues↗Releases↗
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