npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

tw-insights

v1.0.0

Published

analyze a tweet archive

Downloads

1

Readme

tw-insights

Analyze a tweet archive using Microsoft Azure's text analytics services.

Getting data

You will need to get an archive tweets to analyze. The easiest way to do that is to get your own archive from can do that at https://twitter.com/settings/account

Microsoft Azure credentials

You will need to create a Microsoft Azure account, enable Cognitive Services and then place your API key in a .env file like so:

MS_ACCESS_KEY=access-key-value

More instructions can be found here: https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-signup

How to run

There are two ways to run this tool

Top-level command
$ tw-insights run-all [path-to-archive]

This will read all the tweets in the archive and run them through all the analysis steps. In doing so, it will split the tweets into batches of 1000 to respect Azure's upload limit. The tool does nothing else to manage rate limiting, so you might hit errors if you analyze a lot of data at once.

Individually run steps
$ tw-insights read-tweets [path-to-archive] | tw-insights add-languages | tw-insights add-sentiment | tw-insights add-key-phrases

The individual commands have all been built to read tweets from stdin as new line delimited JSON. The results of one command can be pipe into another, and the tool will automatically batch them into groups of 1000 per request to respect Azure's upload limits. This approach may lead to better performance on large datasets. Note that sentiment and key phrases analyses require a language to be set, which language analysis step provides.