Search Results for "compare"
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277 projects for "compare" with 1 filter applied:
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Auth0 for AI Agents now in GAConnect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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International Components for Unicode
The home of the ICU project source code
...Convert text data to or from Unicode and nearly any other character set or encoding. ICU's conversion tables are based on charset data collected by IBM over the course of many decades and is the most complete available anywhere. Compare strings according to the conventions and standards of a particular language, region or country. ICU's collation is based on the Unicode Collation Algorithm plus locale-specific comparison rules from the Common Locale Data Repository, a comprehensive source for this type of data. -
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libzip
A C library for reading, creating, and modifying zip archives.
libzip is a C library for reading, creating, and modifying zip archives. Files can be added from data buffers, files, or compressed data copied directly from other zip archives. Changes made without closing the archive can be reverted. The API is documented by man pages. libzip is fully documented via man pages. HTML versions of the man pages are on libzip.org and in the man directory. You can start with libzip(3), which lists all others. Example source code is in the examples and src... -
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StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
StabilityMatrix is a project that helps organize, evaluate, and compare generative AI models and their behavior across prompts, datasets, or configuration settings. It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity, coherence, or task-specific metrics), and visualization helpers to make comparisons interpretable. ... -
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Open LLMs
A list of open LLMs available for commercial use
...For teams or developers interested in experimenting with LLMs but wanting to avoid vendor lock-in or licensing constraints, open-llms offers a practical starting point. It aggregates metadata, licensing info, and often pointers to the model weights or model cards — helping users quickly compare models by size, license, domain, and capabilities. By compiling this in one place, open-llms reduces friction in exploring the LLM space, making it easier to try different models, benchmark them, or build custom applications. -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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JenkinsPipelineUnit
Framework for unit testing Jenkins pipelines
This testing framework lets you write unit tests on the configuration and conditional logic of the pipeline code, by providing a mock execution of the pipeline. You can mock built-in Jenkins commands, job configurations, see the stacktrace of the whole execution and even track regressions. -
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free-for.dev
A list of SaaS, PaaS and IaaS offerings that have free tiers
free-for-dev is a long-running, community-curated catalog of services that offer free tiers useful to developers, students, makers, and small teams. The list spans hosting, databases, CI/CD, monitoring, source control, APIs, design tools, and more, organized into clear categories so readers can scan and compare options quickly. It emphasizes practical limits such as usage caps, seat counts, rate limits, and time-boxed trials, helping users spot real-world constraints before adopting a tool. The repository is maintained via pull requests and issue discussion, so new services and policy changes can be incorporated as providers evolve their offerings. ... -
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yq
Portable command-line YAML processor
...It can be likened to projects like jq (a command-line JSON processor) or sed but for YAML files. yq is able to do quite a number of things. It can deep read a YAML file with a given path expression, deeply compare YAML files, update a YAML file given a path expression or script file, and so much more. It can also merge several YAML files while offering plenty of options for overriding and appending. yq is written in portable Go, allowing you to download a binary that's free of dependencies. -
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SYSADMIN Test Questions
A collection of Linux Sysadmin Test Questions and Answers
...It spans fundamentals like filesystems, permissions, processes, and networking, then ventures into security, performance, virtualization, containers, and databases. The format encourages quick drills: pick a topic, answer from memory, then compare against concise explanations. Many questions highlight real-world troubleshooting patterns rather than purely theoretical trivia, reflecting what admins face daily. As an interview prep resource, it helps candidates assess breadth and identify weak spots before deeper study. For teams, it doubles as a training checklist to standardize baseline knowledge across junior and mid-level engineers. -
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MLflow
Open source platform for the machine learning lifecycle
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). -
Smart Business Texting that Generates PipelineTextUs is the leading text messaging service provider for businesses that want to engage in real-time conversations with customers, leads, employees and candidates. Text messaging is one of the most engaging ways to communicate with customers, candidates, employees and leads. 1:1, two-way messaging encourages response and engagement. Text messages help teams get 10x the response rate over phone and email. Business text messaging has become a more viable form of communication than traditional mediums. The TextUs user experience is intentionally designed to resemble the familiar SMS inbox, allowing users to easily manage contacts, conversations, and campaigns. Work right from your desktop with the TextUs web app or use the Chrome extension alongside your ATS or CRM. Leverage the mobile app for on-the-go sending and responding.
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Job Recommend
The basics of building a job recommendation workflow
Job-Recommend explores the basics of building a job recommendation workflow, from data preparation to ranking simple candidate matches. It treats job postings and résumés as structured items and applies straightforward matching signals such as keywords, skills overlap, or vectorized features. The repository is educational in spirit, focusing on clarity rather than heavy infrastructure or opaque models. You can study how to transform raw text into features and how to evaluate simple... -
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PHP Enum
PHP Enum
The myclabs/php-enum library is a PHP package that provides an object-oriented approach to implementing enumerations, inspired by the SPL's SplEnum. Before PHP 8.1 introduced native enum support, this library offered a structured way to define and use enumerated types, enhancing code readability and type safety. By extending the base Enum class, developers can create enums with defined constants, ensuring that variables only hold valid, predefined values. This approach helps prevent errors... -
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D4RL
Collection of reference environments, offline reinforcement learning
...The API is based on Gymnasium (via gym.make) and each environment also exposes a method get_dataset() that returns the offline data to learn from. The repository emphasizes open science, reproducibility, and benchmarking at scale, making it easier to compare algorithms on equal footing. -
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rate.sx
Curl cryptocurrencies exchange rates
...It emphasizes human-readable output by default, with options for concise one-liners or richer summaries including sparkline-style ASCII charts. The service supports multiple coins, fiat conversions, and historical lookups so you can compare prices over time without leaving the terminal. Under the hood it aggregates price feeds and normalizes the results for robust querying, yet keeps the interface dead simple. Because it’s HTTP-based, you can integrate it into shell prompts, tmux status lines, CI logs, dashboards, or chat bots. It’s ideal for developers and power users who want quick answers and scriptable endpoints without installing a heavy client. -
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JMH Gradle Plugin
Integrates the JMH benchmarking framework with Gradle
...It simplifies the workflow by handling classpath setup and wiring Gradle tasks for running benchmarks. Developers can run benchmarks via Gradle commands, produce reports, and compare performance over time. This reduces the manual effort of setting up JMH, making performance testing a natural part of the development cycle. The plugin is especially useful in projects where regression in execution speed or memory use must be carefully monitored. -
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EasyR1
An Efficient, Scalable, Multi-Modality RL Training Framework
...It emphasizes memory-efficient training strategies so you can train long-context or reasoning-dense models on commodity GPUs. The framework is also organized to help you compare training strategies (e.g., pure SFT vs. preference optimization) so you can see what actually moves metrics in math, code, and multi-step reasoning. For teams exploring open reasoning models, EasyR1 provides an opinionated yet flexible path from dataset to deployable checkpoints. -
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Lingvo
Framework for building neural networks
...Lingvo includes reference models and configurations for domains like machine translation, automatic speech recognition, language modeling, image understanding, and 3D object detection. Centralized hyperparameter configuration files allow researchers to share exact experiment setups so others can retrain and compare results reliably. -
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Advanced RAG Techniques
Advanced techniques for RAG systems
...It includes hands-on Jupyter notebooks and runnable scripts that show how to implement ideas like optimizing chunk sizes, proposition chunking, HyDE/HyPE query transformations, fusion retrieval, reranking, and ensemble retrieval. There is also an evaluation section that demonstrates how to measure RAG performance and compare different configurations in a systematic way. -
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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... -
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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. -
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FastbuildAI
An open-source AI framework for developers and entrepreneurs
...It emphasizes fast iteration: you describe tasks declaratively, wire up tools with typed schemas, and let the runtime handle planning, retries, and result aggregation. The project leans into reproducibility with run records, seed control, and structured traces so you can compare behaviors across versions and inputs. Prompt and memory management are treated as first-class concerns, enabling short-lived scratchpads for reasoning as well as long-horizon state when an agent operates over multiple sessions. The codebase favors small, composable pieces—executors, routers, guards—so teams can adopt just what they need instead of buying into a monolith. ... -
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Multimodal
TorchMultimodal is a PyTorch library
...The design emphasizes composability: you can mix and match encoder, fusion, and decoder components rather than starting from monolithic models. The repository also includes example scripts and datasets for common multimodal tasks (e.g. retrieval, visual question answering, grounding) so you can test and compare models end to end. Installation supports both CPU and CUDA, and the codebase is versioned, tested, and maintained. -
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
...Lessons include building prompts from scratch for common tasks like extraction, classification, transformation, and step-by-step reasoning, with checkpoints that let you compare your outputs against solid baselines. You’ll also practice advanced patterns such as tool use, constrained generation, and response validation so outputs are trustworthy and machine-consumable. -
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Top Go Web Frameworks
Web frameworks for Go, most starred on GitHub
...The repository generates a markdown table that includes each framework’s name, star and fork counts, open issue counts, a short description, and the timestamp of the last commit, making it a quick way to compare ecosystem maturity and activity. It includes well-known frameworks and toolkits such as Gin, Fiber, Beego, Echo, go-zero, chi, Kratos, and many more, giving Go developers a broad overview of their options. The data is derived from a simple source file (list.txt) and rendered via a Go utility (list2md.go), so contributors can update the list with minimal friction. ... -
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Yangshun Lago
Data Structures and Algorithms library in TypeScript and JavaScript
...Because the code is idiomatic JavaScript, it also helps front-end engineers strengthen fundamentals without switching languages. The repository’s structure lets you browse topic by topic and compare trade-offs such as time versus space complexity. It’s a handy companion to interview prep lists: after reading a concept, you can open the matching Lago implementation and trace it line by line. -
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SAM 2
The repository provides code for running inference with SAM 2
...SAM2 comes with pretrained weights and easy-to-use APIs, enabling developers and researchers to integrate promptable segmentation into annotation tools, vision pipelines, or downstream tasks. The project also includes scripts and notebooks to compare SAM2 against SAM on edge cases, benchmarks showing improvements, and evaluation suites to measure mask quality metrics like IoU and boundary error.
