Who should use feed-sentiment?

feed-sentiment is an open-source project built for developers.

Is feed-sentiment free?

Yes — feed-sentiment is open source under the MIT license and free to use.

What platforms does feed-sentiment run on?

feed-sentiment runs on the command line.

Is feed-sentiment still active?

The GitHub repository shows 3 commits in the last 90 days.

What are alternatives to feed-sentiment?

Similar projects tracked by PulseGate include git-build-commit, funkuino, and click-docs.

Who develops feed-sentiment?

feed-sentiment is developed by Kurt Patrick Yu.

How long has feed-sentiment been around?

feed-sentiment first shipped in 2026.

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feed-sentiment

Name: feed-sentiment
Author: Kurt Patrick Yu

PyPIInfrastructure

feed-sentiment is a Python package that performs typed sentiment analysis on snapshots of RSS and Atom feeds. It enables developers to extract sentiment data from news and blog feeds with structured, typed outputs. The library is open source under the MIT license and is distributed via PyPI.

Open SourceMITCLI

Visit PyPI

Overview

4 features

In the Other dev tools space, feed-sentiment takes a focused approach. It focuses on performing reliable, typed sentiment analysis on RSS and Atom feed content. It is built as an open-source project for developers. The project is open source (MIT). feed-sentiment is available on the command line.

Behind feed-sentiment is Kurt Patrick Yu, and it first shipped in 2026. Development happens publicly on GitHub with 3 commits in the last 90 days. Key capabilities include Sentiment Analysis, RSS Support, and Atom Support.

Summary written by a language model from the project’s public pages.

Sentiment Analysis
RSS Support
Atom Support
Typed Output

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source GitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed22 Jul · 00:04 UTC
feed-sentiment verified against its public source
Source: PulseGate · Open

Frequently asked questions about feed-sentiment

What is feed-sentiment?: Feed-sentiment focuses on performing reliable, typed sentiment analysis on RSS and Atom feed content. It is catalogued under Other dev tools on PulseGate.
Who should use feed-sentiment?: feed-sentiment is an open-source project built for developers.
Is feed-sentiment free?: Yes — feed-sentiment is open source under the MIT license and free to use.
What platforms does feed-sentiment run on?: feed-sentiment runs on the command line.
Is feed-sentiment still active?: The GitHub repository shows 3 commits in the last 90 days.
What are alternatives to feed-sentiment?: Similar projects tracked by PulseGate include git-build-commit, funkuino, and click-docs.git-build-commit funkuino click-docs
Who develops feed-sentiment?: feed-sentiment is developed by Kurt Patrick Yu.
How long has feed-sentiment been around?: feed-sentiment first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 22 Jul 2026
Built for: developers
Model: Open source
Solves: Performing reliable, typed sentiment analysis on RSS and Atom feed content.

Registered as

GitHub: kurtpatrickyu/feed-sentiment
PyPI: feed-sentiment

Developer

Kurt Patrick Yu

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 21 Jul 2026
Commits 90d: 3
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.1.0 · 22 Jul 2026

Live coverage

Identity confidence: Low · 64
Indexed: 22 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 22 Jul 2026

Identity audit (13)

Slug: feed-sentiment-pypi-org
Lifecycle state recorded: 22 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 22 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 22 Jul 2026
Canonical URL: https://pypi.org/project/feed-sentiment

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