# obsei/obsei

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

Repository: https://github.com/obsei/obsei
Canonical: https://ross.abutalabs.com/products/obsei
Homepage: https://obsei.com/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: artificial-intelligence, natural-language-processing, sentiment-analysis, workflow, social-network-analysis, customer-engagement, text-analysis, text-analytics, python, nlp, issue-tracking-system, customer-support, lowcode, text-classification, anonymization, low-code, business-process-automation, workflow-automation, process-automation, social-listening
Last push: 2026-02-04T14:21:36+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 65, release rhythm 8, longevity 100
- inputs: {"age_days": 2138, "days_push": 210, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1426, forks 177 (observed 2026-08-28T04:04:41.561131+00:00)

## What it is
Obsei is an open-source, low-code, AI-powered automation framework for text analysis workflows. It collects unstructured data from sources like Twitter, Reddit, and app store reviews, analyzes it with NLP tasks such as classification and sentiment analysis, and forwards results to destinations like ticketing systems or databases.

## Use cases
- monitor brand mentions on social media
- analyze customer reviews for sentiment
- create support tickets automatically from complaints
- get alerts for sales leads or customer complaints
- classify and tag customer feedback
- anonymize PII in collected text data
- run scheduled social listening jobs

## When to avoid
- you need a battle-tested production system - it is still in alpha with breaking changes
- you need image, audio, or video workflows, which are only future plans
- you want a fully managed SaaS rather than a self-hosted Python framework

## Facets
- artifact type: framework
- maturity: experimental
- function: nlp, workflow-automation, machine-learning, web-scraping, alerting
- domain: artificial-intelligence, social-media, analytics
- platform: python, cross-platform, self-hosted
- tags: low-code, social-listening, sentiment-analysis, customer-feedback, text-analytics, pii-anonymization, observer-analyzer-informer, text-classification, natural-language-processing, automation

## Member repositories
- obsei/obsei (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:41.561131+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:37:27.845590+00:00, confidence not recorded.
  - readme: https://github.com/obsei/obsei (fetched 2026-08-28T04:04:41.561131+00:00, sha 64a2cd99b749)
  - homepage: https://obsei.com/ (fetched 2026-08-29T11:49:20.795738+00:00, sha d53158bbbd8a)
  - registry_pypi: https://pypi.org/pypi/obsei/json (fetched 2026-08-29T11:49:20.805652+00:00, sha c7b30d095274)
- Data as of 2026-08-30T08:39:29.467469+00:00.