R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. 

R Language - Project for Statistical Computing

A network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Statsd - Simple daemon for easy stats aggregation

AnomalyDetection is an open-source R package to detect anomalies which is robust, from a statistical standpoint, in the presence of seasonality and an underlying trend. The AnomalyDetection package can be used in wide variety of contexts. For example, detecting anomalies in system metrics after a new software release, user engagement post an A/B test, or for problems in econometrics, financial engineering, political and social sciences.

AnomalyDetection - Anomaly Detection with R

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.Online documentation is available at seaborn.pydata.org. Installation requires numpy, scipy, pandas, and matplotlib. Some functions will optionally use statsmodels if it is installed.

Seaborn - Statistical data visualization using matplotlib

Commons Math is a library of lightweight, self-contained mathematics and statistics components addressing the most common problems not available in the Java programming language. it has support for Linear Algebra, Probability Distributions, Numerical Algebra, Statistics, Transform methods, Least Square etc.

Commons Math: The Apache Commons Mathematics Library

The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.
 
After merging with the AForge.NET project, the framework now offers a unified API for learning/training machine learning models that is both easy to use and extensible. 
 
It supports Vector Machines , Logistic Regression , Decision Trees , Neural Networks , Deep Learning (Deep Neural Networks), Levenberg-Marquardt with Bayesian Regularization , Restricted Boltzmann Machines , Sequence classification , Hidden Markov Classifiers and Hidden Conditional Random Fields, Multiple linear regression , Multivariate linear regression , polynomial regression , logarithmic regression.
 
 Clustering algorithms like K-Means , K-Modes , Mean-Shift , Gaussian Mixture Models , Binary Split, Image processing, Load, parse, save, filter and transform audio signals, Real-time face detection and tracking , as well as general methods for detecting , tracking and transforming objects in image streams and lot more.

The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.

Accord.NET - Machine learning, Computer vision, Statistics and general scientific computing for .NET

Plausible Analytics is a simple, lightweight (< 1 KB), open-source and privacy-friendly alternative to Google Analytics. It doesn’t use cookies and is fully compliant with GDPR, CCPA and PECR. You can self-host Plausible or have us run it for you in the Cloud. It is easy to understand and it cuts through the noise. Check your site traffic and get all the essential insights on one page in one minute. There are no layers of menus, there is no need for you to build custom reports, custom dashboards or PowerPoint documents. 
 
All the site measurement is carried out absolutely anonymously. Cookies are not used and no personal data is collected. There are no persistent identifiers. No cross-site or cross-device tracking either. Your site data is not used for any other purposes. Segment your audience by any metric you click on. Answer the important questions about your visitors, content and referral sources. Analyze paid campaigns and dark traffic using UTM parameters. Track outbound link clicks and 404 error pages. Create custom events, see how they convert and identify trends that matter.

Plausible Analytics is a simple, lightweight (< 1 KB), open-source and privacy-friendly alternative to Google Analytics. It doesn’t use cookies and is fully compliant with GDPR, CCPA and PECR. You can self-host Plausible or have us run it for you in the Cloud. It is easy to understand and it cuts through the noise. Check your site traffic and get all the essential insights on one page in one minute. There are no layers of menus, there is no need for you to build custom reports, custom dashboards or PowerPoint documents.

Plausible Analytics - Simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics

Umami is a simple, fast, website analytics alternative to Google Analytics. Umami measures just the important metrics that you care about: pageviews, devices used, and where your visitors are coming from. Everything is displayed on a single, easy to browse page. It is able to track an unlimited number of websites from a single installation. You can even track subdomains and individual URLs.
 
Umami can be used to host data for friends or clients. Just create a separate account and they can start tracking their own websites on their own dashboard. Its interface is optimized for mobile so you can view your stats from anywhere.

Umami is a simple, fast, website analytics alternative to Google Analytics. Umami measures just the important metrics that you care about: pageviews, devices used, and where your visitors are coming from. Everything is displayed on a single, easy to browse page. It is able to track an unlimited number of websites from a single installation. You can even track subdomains and individual URLs.

Umami - Simple, fast, website analytics alternative to Google Analytics

GoatCounter is an open source web analytics platform available as a hosted service (free for non-commercial use) or self-hosted app. It aims to offer easy to use and meaningful privacy-friendly web analytics as an alternative to Google Analytics or Matomo. 
 
It doesn’t track users with unique identifiers and doesn't need a GDPR notice. It identify unique visits without cookies using a non-identifiable hash. It keeps useful statistics such as browser information, location, and screen size and also keeps track of referring sites and campaigns.

GoatCounter is an open source web analytics platform available as a hosted service (free for non-commercial use) or self-hosted app. It aims to offer easy to use and meaningful privacy-friendly web analytics as an alternative to Google Analytics or Matomo. 

GoatCounter - Easy web analytics. No tracking of personal data

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions. It supports aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets, High performance merging and joining of data sets, Time series-functionality, Hierarchical axis indexing and lot more. 

Pandas - Powerful Python Data Analysis Toolkit

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. This computation is automatically distributed across all available compute nodes, and the result, reduced by summation (+), is returned at the calling node.

Julia - Language for Technical Computing

 A tool similar to cloc, sloccount and tokei. For counting physical the lines of code, blank lines, comment lines, and physical lines of source code in many programming languages. Goal is to be the fastest code counter possible, but also perform COCOMO calculation like sloccount and to estimate code complexity similar to cyclomatic complexity calculators. 

Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go

BioJava is an open-source project dedicated to providing a Java framework for processing biological data. It provides analytical and statistical routines, parsers for common file formats and allows the manipulation of sequences and 3D structures. The goal of the biojava project is to facilitate rapid application development for bioinformatics. 

BioJava - Java Framework for Processing Biological Data

KNIME, pronounced [naim], is a modern data analytics platform that allows you to perform sophisticated statistics and data mining on your data to analyze trends and predict potential results. Its visual workbench combines data access, data transformation, initial investigation, powerful predictive analytics and visualization. KNIME also provides the ability to develop reports based on your information or automate the application of new insight back into production systems.

Knime - Data Analytics Platform

SpamTestBuddy is a simple, light-weight, multiple-input spam scoring tool. It is standalone and can be used with simple procmail rules without root access or daemons. It has built-in support for simple DNS checks including DNSBL (DNS-based blocklist) queries, and can scan headers from filters such as SpamProbe, QSF, DSPAM that you already use. It reduces both false positives and false negatives with the benefit of extra spam tests. 

SpamTestBuddy - Spam Scoring Tool

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