Search Results for "compare"
Sort By:
Showing 35 open source projects for "compare"
View related business solutions-
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
1
Monkeytype
The most customizable typing website with a minimalistic design
...The interface is designed to feel natural by showing typed characters in place and providing immediate feedback on errors, speed, and accuracy. Users can create accounts to save typing history, review progress, and compare results over time. The project also includes many personalization options, including themes, sounds, caret behavior, layouts, and other user-configurable settings. It is useful for casual typists, competitive typing communities, keyboard enthusiasts, and developers interested in a full-featured web app. -
2
promptfoo
Evaluate and compare LLM outputs, catch regressions, improve prompts
Ensure high-quality LLM outputs with automatic evals. Use a representative sample of user inputs to reduce subjectivity when tuning prompts. Use built-in metrics, LLM-graded evals, or define your own custom metrics. Compare prompts and model outputs side-by-side, or integrate the library into your existing test/CI workflow. Use OpenAI, Anthropic, and open-source models like Llama and Vicuna, or integrate custom API providers for any LLM API. -
3
Infracost VSCode Extension
See cost estimates for Terraform right in your editor
Infracost's VSCode extension shows you cost estimates for Terraform right in your editor! Prevent costly infrastructure changes before they get into production. Compare configs, instance types, regions etc: copy/paste a code block, make changes and compare them. Quick cost estimate: write a code block and get a cost estimate without having to use AWS, Azure or Google cost calculators, or read the long/complicated pricing web pages. Catch costly typos: if you accidentally type 22 instead of 2 as the instance count, or 1000GB volume size instead of 100, the cost estimate will immediately pick that up and let you know. ... -
4
DbGate
Database manager for MySQL, PostgreSQL, SQL Server, MongoDB
...DbGate is a cross-platform database manager. It's designed to be simple to use and effective when working with more databases simultaneously. But there are also many advanced features like schema compare, visual query designer, chart visualization or batch export and import. Mongo JavaScript editor, execute Mongo script (with NodeJs syntax). Redis tree view, generate script from keys, run Redis script. Runs as an application for Windows, Linux and Mac. Or in Docker container on the server and in a web browser on the client. Import, export from/to CSV, Excel, JSON, XML. ... -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
-
5
Ollama Grid Search
A multi-platform desktop application to evaluate and compare LLM
...The system integrates directly with local or remote Ollama servers, enabling seamless access to models already deployed in a user’s environment. It also includes experiment logging and A/B testing capabilities, which allow users to compare outputs side by side and track performance metrics such as latency or token usage. -
6
parca
Continuous profiling for analysis of CPU and memory usage
...Efficiently storing profiling data while retaining raw data and allowing slicing and dicing of data through a label-based search. Aggregate profiling data infrastructure-wide, view single profiles in time or compare on any dimension. -
7
Every Code
Local AI coding agent CLI with multi-agent orchestration tools
...It is a community-driven fork of the Codex CLI, with a strong emphasis on improving real-world developer ergonomics and workflows. Every Code enhances the traditional coding assistant model by introducing multi-agent orchestration, allowing multiple AI agents to collaborate, compare solutions, and refine outputs in parallel. It supports integration with various AI providers, enabling users to route tasks across different models depending on their needs. Every Code also includes browser integration and automation capabilities, extending its usefulness beyond simple code generation into more complex development tasks. ... -
8
LangWatch
The platform for LLM evaluations and AI agent testing
...The platform includes dashboards that visualize model behavior, enabling teams to monitor trends in response quality and reliability over time. It also provides evaluation tools that allow developers to test prompts and compare outputs across different models or configurations. Through integration with popular AI development frameworks, LangWatch can be embedded directly into AI pipelines to provide continuous monitoring and evaluation. -
9
DVC Extension for Visual Studio Code
Machine learning experiment tracking and data versioning with DVC ext
A Visual Studio Code extension that integrates Data Version Control (DVC) into the development environment, enhancing reproducibility and collaboration for machine learning projects. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
10
Claude Octopus
Put up to 8 AI models on every coding task
...The system is particularly useful for detecting inconsistencies, edge cases, and errors that a single model might miss. It integrates directly into coding workflows, making it easy to compare outputs without leaving the development environment. The plugin supports multiple providers and model types, enabling flexible combinations of local and cloud-based models. It emphasizes collaborative intelligence, where models effectively act as reviewers of each other’s work. Overall, Claude Octopus enhances reliability and decision-making by introducing redundancy and diversity into AI-assisted coding. -
11
scriptc
TypeScript-to-Native Compiler
...The supported surface includes major language features, standard collections, many Node APIs, networking, TLS, fetch, streams, and asynchronous programming. Differential tests compare native output with Node.js, while sanitizer testing checks memory safety and documented divergences. -
12
Terminal Code
VS Code in the terminal
...It combines terminal-browser with code-server so the graphical editor can be rendered inside the terminal instead of a separate browser window. The tode command can open files or folders, jump to exact locations, compare files, and manage workspaces. It also supports panes, extension management, theme selection, source-control review, and importing settings from VS Code-compatible editors. An interactive shortcut setup helps resolve key conflicts between the editor and terminal. Remote development is optimized through SSH by keeping the frontend local while running the VS Code backend remotely. ... -
13
Private Mind
Your private AI mind. In your pocket
...It supports customizable AI behavior, including choosing supported models, uploading models, and adjusting system prompts. The project also includes built-in benchmarking so users can compare performance, speed, and memory usage on their own hardware. Its main value is making personal AI feel private, portable, free, and usable without accounts, subscriptions, or an internet connection. -
14
Refined GitHub
Browser extension that simplifies GitHub interface and adds features
...Adds a keyboard shortcut to star/unstar the current repo: g s. Adds a link to the default branch on directory listings and files. Adds a link to swap branches in the branch compare view. Adds a shortcut to your forks next to the Fork button on the current repo. Displays the age of the repository in the sidebar. In your forked repos, shows number of your open PRs to the original repo. Adds a link to access the past runs of a GitHub Action workflow when seeing the workflow configuration file. And much more. -
15
vinext-starter
An interactive 3D human anatomy explorer built using threejs
...Users can search an organ library, select a specimen, rotate or zoom the model, and click hotspots for additional information. Viewer tools can isolate structures, show cross-sections, toggle layers, compare organs, and reset the scene. Each organ page presents its scientific name, description, size, weight, location, blood supply, function, medical relevance, and other learning facts. Additional activities include guided lessons, quick quizzes, function animations, microscopic views, and organ comparisons. The interface prefetches models and image assets to make switching between specimens feel responsive. ... -
16
Learning Interpretability Tool
Interactively analyze ML models to understand their behavior
The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks. -
17
dLLM
dLLM: Simple Diffusion Language Modeling
...The project provides an integrated pipeline that standardizes how diffusion language models are trained, evaluated, and deployed, helping researchers reproduce experiments and compare results more easily. The framework includes scalable training infrastructure inspired by modern deep learning toolkits and supports integrations with widely used libraries for distributed training. -
18
Open Science
Open Science is an open-source, local-first, model-agnostic research
...It produces reproducible reports, tables, figures, and other artifacts inside a unified project workspace. Users can inspect tool activity, approve sensitive actions, branch earlier conversations, and compare alternative research paths without losing prior work. Immutable artifact versions and detailed provenance connect results to code, inputs, execution history, environment evidence, conversation context, and review findings. -
19
ChainForge
An open-source visual programming environment
ChainForge is an open-source visual programming environment designed to help developers systematically test, compare, and evaluate prompts and outputs across multiple large language models in a structured and scalable way. Instead of relying on isolated prompt experimentation, it introduces a dataflow-based interface that allows users to create complex prompt pipelines and evaluate them across different models, parameters, and datasets simultaneously. -
20
Easings.net
Easing Functions Cheat Sheet
...The project provides a clear, interactive showcase of common easing equations such as quadratic, cubic, quartic, and elastic functions. It is a valuable resource for developers and designers who want to understand and compare different easing behaviors before applying them to web animations, game mechanics, or UI interactions. With its focus on simplicity and clarity, Easings .net has become a popular go-to reference for motion design and development. -
21
RealWorld
Exemplary fullstack Medium.com clone powered by React, Angular, Node
...The same spec is realized dozens of times (React, Vue, Svelte, Angular, Solid, Next, Remix, and many more), alongside multiple server implementations, so learners can compare idioms without guessing about feature gaps. A shared API contract and test suite keep implementations consistent and reveal framework-specific tradeoffs clearly. This makes the repo a powerful teaching tool for architecture, state management, testing, and deployment patterns at production scale. Teams also use it to evaluate new frameworks by building “yet another RealWorld” and measuring DX, bundle size, and maintainability. -
22
Ansvisor
Open-source Answer Engine Optimization platform
...It tracks mentions across platforms such as ChatGPT, Google AI Overview, Google AI Mode, Gemini, Perplexity, Copilot, Grok, and Claude. The platform helps teams measure visibility scores, compare competitors, analyze prompt performance, and identify which sources AI systems cite alongside their brand. It also includes AI traffic analytics, allowing organizations to see visits that arrive from AI answer engines and break them down by platform, landing page, and country. Ansvisor supports content optimization workflows by generating briefs with titles, outlines, target keywords, and competitor insights. ... -
23
EC2Instances.info
Amazon EC2 instance comparison site
...The site aggregates key metrics — including CPU, memory, storage, networking specs, and pricing — across many instance families, and lets users filter, sort, and visually compare configurations side by side. It was created to simplify decision-making for cloud provisioning, making it easier to choose the best instance type for performance and cost goals, and it’s maintained by the Vantage community to stay updated with current AWS offerings and user suggestions. Contributors use automated scrapers and workflows in the repository to fetch, update, and curate the underlying data that powers the comparison interface, and the site itself supports API access for programmatic integration into tools or dashboards. -
24
nbdime
Tools for diffing and merging of Jupyter notebooks
nbdime provides tools for diffing and merging Jupyter notebooks. Jupyter notebooks are useful, rich media documents stored in a plain text JSON format. This format is relatively easy to parse. However, primitive line-based diff and merge tools do not handle well the logical structure of notebook documents. nbdime, on the other hand, provides “content-aware” diffing and merging of Jupyter notebooks. It understands the structure of notebook documents. Therefore, it can make intelligent... -
25
type-challenges
Collection of TypeScript type challenges with online judge
type-challenges is a massive set of TypeScript type-level puzzles that turn the compiler into a playground for metaprogramming. Each challenge is a miniature kata where you implement types that transform other types—parsing strings, inferring tuples, mapping unions—without writing any runtime code. Problems are arranged from warm-ups to brain-twisters, letting developers build intuition about distributive conditional types, inference in extends, variance, and other corner cases of the type...
