
GitLab
BitBucket
VS Code
Git
CodePen
Node.js
Stack Overflow
Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

Enterpret
Chattermill
MightyForms
Cliently
ClientZen
Workflowy
Back
Open source, privacy-first Voice of Customer analytics. A self-hosted alternative to Enterpret and Unwrap that strips PII from feedback before any LLM sees it.

Which is more popular?
Based on our record, GitHub seems to be a lot more popular than Obsei. While we know about 2527 links to GitHub, we've tracked only 1 mention of Obsei.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | github.com | obsei.com |
| Pricing | ||
| Company | Startup from the United States · 500 - 999 employees · 2008 | 2020 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of GitHub yet.
Obsei is an open source, self-hosted Voice of Customer platform. It reads customer feedback from wherever it lives, removes personal data before any AI model sees it, and shows your team what customers are saying. What it does Collects feedback from the App Store, Google Play, Zendesk, Freshdesk,...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Obsei yet.
Walkthroughs and reviews on video.
How to do coding peer reviews with Github
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing GitHub and Obsei.
Obsei's answer:
Obsei removes personal data before any AI model sees your customers' words. Emails, phone numbers, card numbers and national IDs are stripped as feedback arrives, authors become pseudonyms, and the database is encrypted. The default classifier runs on your own machine, so you can analyse reviews, tickets and calls without sending them to a SaaS vendor or a public LLM. It is also open source under Apache-2.0, with no paid tier, and it works with AI agents through MCP, so Claude, Cursor or Codex can answer "what are customers saying?" with real, redacted quotes.
Obsei's answer:
Choose Obsei if you can't, or don't want to, send customer text to another company. Enterpret, Unwrap and Chattermill process your feedback on their servers and usually start at several thousand dollars a year. Obsei runs inside your own infrastructure, costs nothing, and lets you bring your own model, from a small local classifier to Ollama, Azure OpenAI or Bedrock. You also aren't locked in: the data stays in an encrypted DuckDB file you own, and every source, sink and model can be swapped.
Obsei's answer:
Product, support and CX teams who want to understand customer feedback at scale but work under privacy rules: banks, insurers, healthcare, public services, and companies working under GDPR or India's DPDP Act. It also suits app developers and open source maintainers who want to track App Store, Google Play, GitHub or Hacker News feedback for free, and engineering teams building AI agents that need customer evidence without exposing personal data.
Obsei's answer:
I started Obsei in 2020 as a small open source Python library to read app reviews and tweets with AI models. In 2022 it was a joint runner-up in the Reserve Bank of India's first global hackathon, HARBINGER, and my co-founder Girish Patel and I started a company, Oraika, around it. We had encouraging meetings with banks, but we were engineers with no experience of enterprise sales, and we couldn't close a deal. The project went quiet for almost three years.
In 2026 I came back to it. Customer feedback had become even more sensitive with LLMs everywhere, so I rewrote Obsei from scratch around one rule: understand customers without moving their personal data anywhere it shouldn't go. Version 1.0 shipped in October 2026. I maintain it in my free time, and the long-term plan is to move it to a neutral foundation such as LF AI & Data.
Obsei's answer:
Python 3.11+ with Pydantic for configuration, Typer for the CLI, httpx for connectors and Starlette for the server. DuckDB with its encryption extension for storage. Hugging Face Transformers for the default zero-shot classifier (bge-m3-zeroshot-v2.0), fastembed for multilingual embeddings and GLiNER for optional name redaction. The official MCP Python SDK for the agent server. The Studio UI is plain TypeScript bundled with esbuild, and the docs and website are built with Astro.
Share your experience with using GitHub and Obsei. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team...
GitHub Discussions is a communication forum for the community around an open source or internal project. Discussions enable fluid, open conversation in a public forum. Discussions are transparent and accessible, but...
However, like any (human) product, the platform has its limits, downsides, and critics. GitHub has been barred by certain governments, and even if that isn’t exactly the company’s fault, the users are the ones limited...
We have no reviews of Obsei yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Go to the OpenRouter keys page and sign up with email or GitHub. No credit card is needed for free models. - Source: dev.to / 1 day ago
Temporary workaround is to do git config --global url."https://github.com/ git@github.com: so it pushes / pulls using HTTPS when things are back to normal run: git config --global --unset url."https://github.com/. - Source: Hacker News / 1 day ago
The problem is that the URL has to be reachable from the public internet. During development, your application runs on localhost:3000, behind a home router or an office NAT. GitHub, Stripe, and Slack cannot reach that address. To test... - Source: dev.to / 2 days ago
Allow me to introduce Obsei (pronounced "Ob see" | /əb-'sē/). It is a low-code AI powered automation tool. Name was derived from three words OBServe, AnalyzE, Inform. - Source: dev.to / almost 5 years ago
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Extract actionable insights from customer feedback using deep learning
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