SEO
Goatcounter is A Free Open Source Website Analytics
Easy web analytics. No tracking of personal data.
Analytics
Cryptocurrency
CryptoTracker: An Enterprise-Grade Cryptocurrency Monitor
CryptoTracker is a free open-source web-based cryptocurrency data tracker and monitor. You can install it on your local machine or self-host at your remote server. It features advanced search options with extension support, custom filters, dashboard cloning, Lucene search query syntax, and colorful graphs. It is released as an open-source
Articles
Top Programming Languages for Data Science
Data science is an important instrument in the modern world. A lot of computers gather a lot of bytes of information about users behavior, weather, results of sports games and all other kinds of content that appears every second. However, there are a lot of questions about the quality of
GDPR
Plausible: Self-hosted Privacy-aware open-source Google Analytics Alternative
Website Analytics is a crucial tool for website admins, content creators and marketers. While Google Analytics is the primary choice for many site admins and content creators, it is not easy to use, manage and learn. Furthermore, Google Analytics is a web service hosted and managed by Google, users do
Analytics
Ackee: The Google Analytics Open-source alternative for 2021
Ackee is a free real-time web analytics tool built on top of Node.js and MongoDB. It comes with a fancy simple user-interface which summarize all insights in a clear organized dashboard. While there are a dozen of open-source free website analytics solutions, Ackee is built upon modern technologies and
Open-source
The Best 15 Free Self-hosted Google Analytics Alternatives
Running a business without a website nowadays is like trying to climb the Kilimanjaro with a pair of flip-flops, but running a website without looking g at statistics is as useful as being in a submarine without a sonar you have no idea where you are going. Cause this, Google
data science
35 Data Science Python Libraries for Scientists
Python is an interpreted general-purpose programming language. It is used for web development, desktop application development, system scripting and automation. It is a high-level language created in the early 1991 by Guido van Rossum and maintained by Python Software Foundation. The language is easy to learn which makes it suitable
data analysis
JASP: A Less Complicated Free Open-source SPSS Alternative for Advanced Statistics
Some time ago, We published an article listing all available open-source free SPSS alternatives, today we will focus on one of that list's lead "JASP". 12 Free Open source Statistical Analysis software as SPSS alternativesSPSS is a proprietary statistical analysis software acquired by IBM in 2009.
data analysis
8 Open-source/ Free Text Mining and Text Analysis solutions
Ever wanted to analyze text documents for documents or articles? There are several tools, web services that provide such services but what about desktop programs? So here in this article, we have collected several tools to help you achieve that, and even more, they are free and open-source as well.
web development
Medevel Outbreak Monitor is Alive
Medevel's Outbreak Monitor: is a free web monitoring service for outbreaks, It is a necessary tool I built to help people stay updated with the country-specific news. Currently, The system is monitoring hundreds of news sources and Twitter public feed for country-based news. We have created this page
Analytics
Cliniface: Open source 3D Facial Image Visualization and Analysis Software
Cliniface is an open-source facial analysis solution. It supports many file formats. It's built using many open-source libraries and frameworks. Cliniface is built on a modular architecture, which allows developers to extend its functionalities and features. Description (By the developer): Faces can provide clues about an individual’s
Analytics
DataMelt: Free Computation and Visualization Environment
DataMelt, or DMelt, is a free software for numeric computation, mathematics, statistics, symbolic calculations, data analysis and data visualization. The program can be used in many areas, such as natural sciences, engineering, modelling and analysis of financial markets. It combines the simplicity of scripting languages, such as Python, Ruby, Groovy