Search Results for "source code data mining"
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Showing 11 open source projects for "source code data mining"
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Catch Bugs Before Your Customers DoMove from alert to fix before users notice. AppSignal monitors errors, performance bottlenecks, host health, and uptime—all from one dashboard. Instant notifications on deployments, anomaly triggers for memory spikes or error surges, and seamless log management. Works out of the box with Rails, Django, Express, Phoenix, Next.js, and dozens more. Starts at $23/month with no hidden fees.
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ShellCheck
A static analysis tool for shell scripts
ShellCheck is a GPLv3 tool that provides warnings and possible suggestions for bash/sh shell scripts. ShellCheck finds bugs in your shell scripts. You can cabal, apt, dnf, pkg or brew install it locally right now. ShellCheck highlights and clarifies typical beginner's syntax mistakes and issues that cause a shell to give a cryptic error message. It shows typical intermediate level semantic problems that cause a shell to behave in a abnormally and counter-intuitively. It can also discover... -
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The Futhark Programming Language
A data-parallel functional programming language
Futhark is a small programming language designed to be compiled into efficient parallel code. It is a statically typed, data-parallel, and purely functional array language in the ML family, and comes with a heavily optimizing ahead-of-time compiler that presently generates either GPU code via CUDA and OpenCL, or multi-threaded CPU code. Futhark is not designed for graphics programming, but can instead use the compute power of the GPU to accelerate data-parallel array computations. The... -
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Reflex
Interactive programs without callbacks or side-effects
Reflex apps automatically react to changing data. This keeps every interaction current, accurately representing the relationship between your data and the real world. Reflex components are modular and reusable. If your requirements change, your app can quickly and easily be reworked. The modularity of Reflex lets you iterate quickly, without wasting code. Reflex has been built to seamlessly support interfaces on desktop, mobile, web, and other platforms, all in Haskell. Regardless of your... -
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stylish-haskell
Haskell code prettifier
A simple Haskell code prettifier. The goal is not to format all of the code in a file since I find that kind of tools often "get in the way". However, manually cleaning up import statements, etc. gets tedious very quickly. This tool tries to help where necessary without getting in the way. Aligns and sorts import statements. Groups and wraps {-# LANGUAGE #-} pragmas, can remove (some) redundant pragmas. Removes trailing whitespace. Aligns branches in case and fields in records. Converts line... -
Push Code. Get a Production URL. Done.Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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PureScript
A strongly-typed language that compiles to JavaScript
Compile to readable JavaScript and reuse existing JavaScript code easily. An extensive collection of libraries for development of web applications, web servers, apps and more. Excellent tooling and editor support with instant rebuilds. An active community with many learning resources. Build real-world applications using functional techniques and expressive types, such as: Algebraic data types and pattern matching. Row polymorphism and extensible records. Higher kinded types and type classes... -
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Wire Server
Wire back-end services
Modern day communication meets the most advanced security and superior user experience. Protect your privacy and data like never before. Secure messaging, conferencing, file-sharing and more through end-to-end encryption for cloud, private cloud and On-Premises. All messaging on Wire uses end-to-end encryption (E2EE), giving users a strong degree of privacy and security. Wire is 100% open source with its code available on GitHub, independently audited and ISO, CCPA, GDPR, SOX-compliant. ... -
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Gitit
A wiki using HAppS, pandoc, and git
Gitit is a wiki application written in Haskell that uses Happstack for serving and Pandoc for markup conversion. Wiki content and attachments are stored in Git, Darcs, or Mercurial repositories, allowing versioning via VCS or web editing. To run gitit, you'll need git in your system path. (Or darcs or hg, if you're using darcs or mercurial to store the wiki data.) Gitit assumes that the page files (stored in the git repository) are encoded as UTF-8. Even page names may be UTF-8 if the file... -
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The HaskellR project
The full power of R in Haskell
The HaskellR project provides an environment for efficiently processing data using Haskell or R code, interchangeably. HaskellR allows Haskell functions to seamlessly call R functions and vice versa. It provides the Haskell programmer with the full breadth of existing R libraries and extensions for numerical computation, statistical analysis and machine learning. Optionally, pass in the --nix flag to all commands if you have the Nix package manager installed. Nix can populate a local build... -
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niv
Easy dependency management for Nix projects
Niv is a tool designed for managing dependencies in Nix projects. It simplifies adding, updating, and removing package sources via a single nix/sources.json file, improving reproducibility and version control in Nix-based workflows. niv simplifies adding and updating dependencies in Nix projects. It uses a single file, nix/sources.json, where it stores the data necessary for fetching and updating the packages. Nix is a very powerful tool for building code and setting up environments. niv... -
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Dapp tools by DappHub
Dapp, Seth, Hevm, and more
...Users seeking guidance can explore using foundry as an alternative. This repository contains the source code for several programs hand-crafted and maintained by DappHub, along with dependency management, courtesy of Nix. -
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Haxl
Haskell library that simplifies access to remote data
Haxl is a Haskell library that simplifies access to remote data, such as databases or web-based services. Haxl can automatically batch multiple requests to the same data source, request data from multiple data sources concurrently, cache previous requests, and memoize computations. Having all this handled for you behind the scenes means that your data-fetching code can be much cleaner and clearer than it would otherwise be if it had to worry about optimizing data-fetching. ...
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