Search Results for "define" - Page 19
Sort By:
Showing 1351 open source projects for "define"
View related business solutions-
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
1
Metarank
A low code Machine Learning service that personalizes articles
...Run Metarank API service, feed it with real-time events and receive a personalized ranking for your items that will boost conversion, click-through rate or any other business-critical metric you define. -
2
ZenML
Build portable, production-ready MLOps pipelines
...Gradually scale up your MLOps stack by switching out components whenever your training or deployment requirements change. Keep up with the latest changes in the MLOps world and easily integrate any new developments. Define simple and clear ML workflows without wasting time on boilerplate tooling or infrastructure code. Write portable ML code and switch from experimentation to production in seconds. Manage all your favorite MLOps tools in one place with ZenML's plug-and-play integrations. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code. ... -
3
Kysely
A type-safe typescript SQL query builder
Kysely (pronounce “Key-Seh-Lee”) is a type-safe and autocompletion-friendly typescript SQL query builder. Inspired by knex. Mainly developed for node.js but also runs on deno and in the browser. Kysely makes sure you only refer to tables and columns that are visible to the part of the query you're writing. The result type only has the selected columns with correct types and aliases. As an added bonus you get autocompletion for all that stuff. As shown in the gif above, through the pure magic... -
4
Carmine
Redis client and message queue for Clojure
...Pluggable compression and encryption support (v2+). Includes Tundra, an API for replicating data to an additional datastore (v2+, Redis 2.6+). You'll usually want to define a single connection pool, and one connection spec for each of your Redis servers. Note that executing multiple Redis commands in a single wcar request uses efficient Redis pipelining under the hood, and returns a pipeline reply (vector) for easy destructuring, etc. -
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
5
Flow Typed
A central repository for Flow library definitions
High-quality library definitions for Flow. flow-typed is a repository of third-party library interface definitions for use with Flow. When you start a project with Flow, you likely want to use some third-party libraries that were not written with Flow. By default, Flow will just ignore these libraries leaving them untyped. As a result, Flow can't give errors if you accidentally misuse the library (nor will it be able to auto-complete the library). To address this, Flow supports library... -
6
DOMPDF Wrapper for Laravel
A DOMPDF Wrapper for Laravel
...If you need the output as a string, you can get the rendered PDF with the output() function, so you can save/output it yourself. Use php artisan vendor:publish to create a config file located at config/dompdf.php which will allow you to define local configurations to change some settings (default paper etc). -
7
annyang!
Speech recognition for your site
...Use named variables for one word arguments in your command. Use splats to capture multi-word text at the end of your command (greedy). Use optional words or phrases to define a part of the command as optional. annyang plays nicely with all browsers, progressively enhancing browsers that support SpeechRecognition, while leaving users with older browsers unaffected. Grab the latest version of annyang.min.js, drop it in your html, and start adding commands. You can easily add a GUI for the user to interact with Speech Recognition using Speech KITT. ... -
8
Finder Component
Find files and directories via an intuitive fluent interface
...The Finder object doesn’t reset its internal state automatically. This means that you need to create a new instance if you do not want to get mixed results. The component provides lots of methods to define the search criteria. They all can be chained because they implement a fluent interface. The location is the only mandatory criteria. It tells the finder which directory to use for the search. -
9
nivo
A rich set of dataviz components
...All datum having null x or y will be treated as holes, thus portions of the corresponding line will be skipped. You can fully customize it using the circleComponent property to define your own, if you wish to do so you should have a look at the default SVG component to get started. Bar chart which can display multiple data series, stacked or side by side. Also supports both vertical and horizontal layout, with negative values descending below the x axis. -
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
-
10
stylus
Expressive, robust, feature-rich CSS language built for nodejs
...Stylus is “pythonic” (i.e. indentation-based). Whitespace is significant, so we substitute { and } with an indent, and an outdent. Stylus, just like CSS, allows you to define properties for several selectors at once through comma separation. -
11
Echo
High performance, minimalist Go web framework
...Build robust and scalable RESTful API, easily organized into groups. Automatically install TLS certificates from Let's Encrypt. HTTP/2 support improves speed and provides better user experience. Many built-in middleware to use, or define your own. Middleware can be set at root, group or route level. Data binding for HTTP request payload, including JSON, XML or form-data. API to send variety of HTTP response, including JSON, XML, HTML, File, Attachment, Inline, Stream or Blob. Template rendering using any template engine. Customized central HTTP error handling. Easily extendable API. -
12
React Redux
React bindings for Redux
...It lets your React components read data from a Redux store, and dispatch actions to the store to update data. React Redux is maintained by the Redux team, and kept up-to-date with the latest APIs from Redux and React. Designed to work with React's component model. You define how to extract the values your component needs from Redux, and your component receives them as props. Creates wrapper components that manage the store interaction logic for you, so you don't have to write it yourself. Automatically implements complex performance optimizations, so that your own component only re-renders when the data it needs has actually changed. ... -
13
Flutter Rust Bridge
Rust binding generator, feature-rich, but seamless and simple
flutter_rust_bridge is a toolchain that generates ergonomic bindings between Rust and Dart/Flutter so you can write performance-critical logic in Rust while building UI in Flutter. It abstracts away the low-level FFI details, letting developers define Rust functions and data structures that are safely callable from Dart. The project supports passing complex types, handling async operations and streams, and integrating with Flutter across mobile and desktop targets. By leaning on Rust’s memory safety and zero-cost abstractions, it enables compute-heavy tasks—parsing, crypto, image/audio processing, and more—without sacrificing Flutter’s developer experience. ... -
14
MCP UI
SDK for building interactive UI components over MCP for AI tools
...Instead of returning only text responses, tools can provide structured UI resources such as HTML or remote-rendered components, allowing more engaging and functional interactions. mcp-ui introduces a standardized approach where tools and their associated interfaces are linked through metadata, enabling clients to automatically discover and display the correct UI. It includes both client-side and server-side SDKs, making it possible to define UI elements on the backend and handle user interactions on the frontend. It supports multiple programming environments, including TypeScript, Python, and Ruby, broadening its accessibility for developers. -
15
InfiAgent
Build your own Cowork, AI Scientist and other SoTA Agents
...The framework uses a serial multi-agent hierarchy where specialized agents coordinate in tree-structured paths for clear task delegation and minimal tool conflicts, while batch file operations and persistent workspaces ensure reproducibility and traceability. It aims to solve real-world challenges in long-horizon reasoning and execution, offering configuration-driven customization so that users can define domain-specific agents like research assistants. -
16
Superstruct
A simple and composable way to validate data in JavaScript
This project is a lightweight validation library for JavaScript and TypeScript that helps you define data “shapes” and validate runtime values against them. Instead of relying only on compile-time typing, it focuses on the reality that many apps receive unknown input from APIs, forms, and external systems, and those values need runtime checks. Its API is intentionally familiar if you’ve used TypeScript, Flow, Go structs, or GraphQL schemas, but the output is oriented around runtime correctness. ... -
17
rLLM
Democratizing Reinforcement Learning for LLMs
rLLM is an open-source framework for building and training post-training language agents via reinforcement learning — that is, using reinforcement signals to fine-tune or adapt language models (LLMs) into customizable agents for real-world tasks. With rLLM, developers can define custom “agents” and “environments,” and then train those agents via reinforcement learning workflows, possibly surpassing what vanilla fine-tuning or supervised learning might provide. The project is designed to support large-scale language models (including support for big models via integrated training backends), making it relevant for state-of-the-art research and production use. ... -
18
Magic Portfolio
Build your timeless portfolio with Once UI's Magic Portfolio
...It provides a minimal, beginner-friendly setup that focuses on strong typography, responsive layouts, and restrained motion instead of heavy animations. Content is managed through a structured configuration and MDX-based content system, so you can define sections, projects, blog posts, gallery items, and about/CV information in code-backed content files. The template emphasizes SEO with auto-generated Open Graph/X images, schemas, and metadata derived from the content configuration, making it more discoverable out of the box. It offers flexible feature toggles to enable or disable sections such as blog, work, gallery, and about, as well as options for automatic social link generation and password-protected URLs. -
19
AWS Chalice
Python Serverless Microframework for AWS
Chalice is a Python microframework for writing and deploying serverless applications on AWS with minimal ceremony. You define routes, event handlers, and background tasks in plain Python, and Chalice turns them into AWS Lambda functions wired to API Gateway, Amazon EventBridge schedulers, S3/SNS/SQS triggers, and more. A single command builds your app, bundles dependencies, generates infrastructure templates, and deploys to your account with sensible defaults. -
20
Docker Mailserver
Production-ready fullstack but simple mail server
...It bundles the core mail stack—Postfix for SMTP and Dovecot for IMAP/POP3—then layers in optional anti-spam and anti-virus services, DKIM/DMARC signing and verification, and rate-/abuse-protection tooling. The project emphasizes secure defaults while exposing configuration via environment variables and mounted files, allowing you to define users, aliases, domains, and sieve filters without rebuilding images. It integrates smoothly with Let’s Encrypt for TLS, supports LDAP and other auth backends, and ships with scripts to validate DNS records and common misconfigurations. Persistent volumes keep mailboxes and state, making upgrades straightforward and rollbacks less risky. ... -
21
Whenever
Cron jobs in Ruby
Whenever (javan/whenever) is a Ruby gem that provides a clean, Ruby DSL for defining and managing cron jobs within your application. Rather than editing system cron tables by hand, you describe scheduled tasks in a schedule.rb file using methods like every, runner, command, or rake. The gem then compiles this schedule into a standard crontab format and installs it for you, handling all the necessary quoting, environment setup, and command path resolution. It supports specifying execution... -
22
Stacklok Minder
Software Supply Chain Security Platform
...Minder helps project owners proactively manage their security posture by providing a set of checks and policies to minimize risk along the software supply chain and attest their security practices to downstream consumers. Minder allows users to enroll repositories and define policies to ensure repositories and artifacts are configured consistently and securely. Policies can be set to alert only or autoremediate. Minder provides a predefined set of rules and can also be configured to apply custom rules. Minder can be deployed as a Helm chart and provides a CLI tool ‘minder’. Minder is designed to be extensible, allowing users to integrate with their existing tooling and processes. -
23
Habitat-Lab
A modular high-level library to train embodied AI agents
...Allowing users to train agents in a wide variety of single and multi-agent tasks (e.g. navigation, rearrangement, instruction following, question answering, human following), as well as define novel tasks. Configuring and instantiating a diverse set of embodied agents, including commercial robots and humanoids, specifying their sensors and capabilities. Providing algorithms for single and multi-agent training (via imitation or reinforcement learning, or no learning at all as in SensePlanAct pipelines), as well as tools to benchmark their performance on the defined tasks using standard metrics. -
24
Doctrine JSON ODM
An object document mapper for Doctrine ORM using JSON
...Thanks to modern JSON types of RDBMS, querying schema-less documents is easy, powerful and fast as hell (similar in performance to a MongoDB database)! You can even define indexes for those documents. Doctrine JSON ODM allows to store PHP objects as JSON documents in modern, dynamic columns of an RDBMS. It works with JSON and JSONB columns of PostgreSQL (>= 9.4) and the JSON column type of MySQL. -
25
pointblank
Data quality assessment and metadata reporting for data frames
...Sometimes, we want to maintain table information and update it when the table goes through changes. For that, we can use an informant object plus associated functions to help define the metadata entries and present it as a data dictionary.
