Software Alternatives, Accelerators & Startups

Fathom Analytics VS TextSTAT

Compare Fathom Analytics VS TextSTAT and see what are their differences

Fathom Analytics logo Fathom Analytics

Simple, trustworthy website analytics (finally)

TextSTAT logo TextSTAT

TextSTAT is a simple programme for the analysis of texts.
  • Fathom Analytics Landing page
    Landing page //
    2022-12-16
  • TextSTAT Landing page
    Landing page //
    2022-07-18

Fathom Analytics videos

FATHOM ANALYTICS REVIEW 🌟 INSTALL 💸 $100 (OPEN SOURCE)

More videos:

  • Review - Fathom Analytics, One-Click DigitalOcean installation guide

TextSTAT videos

HMT 215 12 NOVEMBER 2020 (1): TextSTAT, TXT & DOC

Category Popularity

0-100% (relative to Fathom Analytics and TextSTAT)
Analytics
100 100%
0% 0
Market Research
0 0%
100% 100
Web Analytics
100 100%
0% 0
Text Analytics
0 0%
100% 100

User comments

Share your experience with using Fathom Analytics and TextSTAT. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Fathom Analytics seems to be a lot more popular than TextSTAT. While we know about 58 links to Fathom Analytics, we've tracked only 1 mention of TextSTAT. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Fathom Analytics mentions (58)

  • Tell HN: My Favorite Tools
    A few apps that are a joy to use: https://ia.net/writer for writing. https://usecontrast.com/ for checking contrast. https://sipapp.io/ for picking colors. https://nova.app/ for editing code. https://cleanshot.com/ for screenshots. https://getpixelsnap.com/ for measuring elements on screen. https://netnewswire.com/ for reading things via RSS. https://panic.com/transmit/ for file transfers. https://usefathom.com/... - Source: Hacker News / 6 months ago
  • 11 Ways to Optimize Your Website
    There are many good, lightweight, and open-source alternatives to Google Analytics, such as Plausible, Matomo, Fathom, Simple Analytics, and so on. Many of these options are open-source, and can be self-hosted. - Source: dev.to / 7 months ago
  • Ask HN: Is Google Analytics that useful?
    Have you looked at Fathom[0] or GoatCounter? [0] https://usefathom.com/ [1] https://www.goatcounter.com/. - Source: Hacker News / 9 months ago
  • Companies must stop using Google Analytics
    Yes, you should absolutely not be using Google Analytics. They don't need more data, your users don't want to see cookie banners and most of you really don't need 99% of the data that you can filter through... I can't recommend Fathom (https://usefathom.com) enough. They have a huge focus on privacy-first tracking. You don't need to show a cookie banner and you can still track events etc. If you want $10 credit... - Source: Hacker News / 12 months ago
  • I’ve roasted 850 landing pages in 2.5 years. Here are the 15 most common mistakes and how to fix them.
    Example: https://usefathom.com/ and june.so. Source: 12 months ago
View more

TextSTAT mentions (1)

What are some alternatives?

When comparing Fathom Analytics and TextSTAT, you can also consider the following products

Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺

Antconc - The website of Laurence Anthony. Professor at Waseda University Japan, developer of AntConc, a freeware concordancer software program for Windows, Linux, and Macintosh OS X

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

Voyant Tools - Voyant Tools is a web-based reading and analysis environment for digital texts.

Matomo - Matomo is an open-source web analytics platform

MAXQDA - a professional software for qualitative and mixed methods data analysis