Search Results for "custom-eclipse" - Page 56
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Showing 8332 open source projects for "custom-eclipse"
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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.
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Unla
Gateway service that instantly transforms existing MCP Servers
Unla is a lightweight, highly available MCP gateway written in Go that turns existing MCP servers or ordinary HTTP APIs into MCP-compliant services through configuration, not code changes. Its goal is to let teams “wire up” tools they already run—internal REST endpoints, third-party APIs, or local MCP servers—and present a single, reliable MCP interface to clients like Claude Desktop, Cursor, and IDEs. The gateway focuses on operational concerns you’d expect in production: multi-instance... -
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JeecgBoot
Low-code enterprise web development platform
...Multi-tenancy, API scaffolding, and pluginable modules make it suitable for both monolith and microservice deployments. In practice, it shortens the path from schema to usable back-office systems, leaving custom logic and integrations as the primary engineering focus. -
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FL Chart
FL Chart is a highly customizable Flutter chart library
...Interactive features like touch handling, tooltips, selection/highlighting, and panning help apps present insights rather than static images. The package pays special attention to aesthetics, with options for gradients, curved lines, stacked bars, rounded corners, custom tick formats, and flexible legends. Because it’s built on Flutter’s rendering primitives, it scales crisply on any device and adapts well to layout constraints. Its API is designed so teams can start simple and progressively layer in formatting, interactions, and performance tweaks as dashboards grow in complexity. -
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Stacklok Minder
Software Supply Chain Security Platform
...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. -
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.
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pointblank
Data quality assessment and metadata reporting for data frames
...For table validation, the agent object works with a large collection of simple (yet powerful!) validation functions. We can enable much more sophisticated validation checks by using custom expressions, segmenting the data, and by selective mutations of the target table. The suite of validation functions ensures that everything just works no matter whether your table is a data frame or a database table. 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. -
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iCn3D
Web-based protein structure viewer and analysis tool
"I see in 3D" (iCn3D) Structure Viewer is not only a web-based 3D viewer, but also a structure analysis tool interactively or in the batch mode using NodeJS scripts based on the npm package icn3d. iCn3D synchronizes the display of 3D structure, 2D interaction, and 1D sequences and annotations. Users' custom displays can be saved in a short URL or a PNG image. The complete package of iCn3D including Three.js and jQuery is in the directory "dist" after you get the source code with the "Code" button. View a 3D structure in iCn3D, input a PDB ID, and click "Load". You can also click the "File" menu to "Open File" or input other IDs. You can open a browser in your Virtual Reality (VR) headset and view a 3D structure in iCn3D. ... -
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Argo Workflows
Workflow engine for Kubernetes
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition). Define workflows where each step in the workflow is a container. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph (DAG). Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. ... -
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eslint-plugin-vue
ESLint plugin for Vue.js
...Be aware that depending on the code samples you write in tests, the RuleTester parser property must be set accordingly (this can be done on a test-by-test basis). The default JavaScript parser must be replaced because Vue.js single file components are not plain JavaScript, but a custom file format. vue-eslint-parser is a replacement parser that generates an enhanced AST with nodes that represent specific parts of the template syntax, as well as the contents of the script tag. -
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Agent Apprenticeship
The living ecosystem where AI agents complete tasks
...Apprentice agents can be paired with mentor agents, human reviewers, or domain experts depending on the selected mode. The project supports Codex, Cursor, Claude Code, OpenClaw, OpenCode, Hermes Agent, and custom agent commands. Its seed dataset includes curated tasks, reusable lessons, execution traces, work episodes, and structured experience records. It is designed for long-horizon agent work, workflow evaluation, runtime training, and shared improvement across an agent ecosystem. -
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LitServe
Minimal Python framework for scalable AI inference servers fast
LitServe is a minimal Python framework designed for building custom AI inference servers with full control over how models are executed and served. It allows developers to define their own inference logic, making it suitable for complex systems such as multi-model pipelines, agents, and retrieval-augmented generation workflows. Unlike traditional serving tools that enforce rigid abstractions, LitServe focuses on flexibility by letting users control request handling, batching strategies, and output processing directly in Python. ... -
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Megatron-LM
Ongoing research training transformer models at scale
Megatron-LM is a GPU-optimized deep learning framework from NVIDIA designed to train extremely large transformer-based language models efficiently at scale. The repository provides both a reference training implementation and Megatron Core, a composable library of high-performance building blocks for custom large-model pipelines. It supports advanced parallelism strategies including tensor, pipeline, data, expert, and context parallelism, enabling training across massive multi-GPU and multi-node clusters. The framework includes mixed-precision training options such as FP16, BF16, FP8, and FP4 to maximize performance and memory efficiency on modern hardware. ... -
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Oat UI
Ultra-lightweight, zero dependency, semantic HTML, CSS, JS UI library
...The project focuses on simplicity and performance, allowing developers to create clean, modern interfaces without relying on heavy frameworks or complex build systems. Oat works by applying sensible default styling directly to standard HTML elements, meaning developers can achieve polished layouts with little to no custom classes. Its small footprint makes it especially attractive for static sites, documentation, prototypes, and low-overhead web applications. The library can be installed via npm, CDN, or direct download, making it flexible across different development workflows. Overall, Oat prioritizes minimalism, speed, and developer ergonomics for teams that want attractive UI results with extremely low complexity. -
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FLUX.2-klein-4B
Flux 2 image generation model pure C inference
...Because the implementation is in plain C and focuses on data locality and vectorized operations, flux2.c can be integrated into performance-critical code paths where control over memory layout and execution behavior matters, such as GPU kernels, embedded systems, or custom ML runtime engines. -
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Aimeos core
Aimeos PHP ecommerce framework for ultra fast online shops
Aimeos-Core is the core library and framework for the Aimeos ecommerce ecosystem, providing the essential building blocks for flexible, scalable online shops, marketplaces, and enterprise commerce applications. Unlike a monolithic shop application, Aimeos-Core is designed as a modular framework that you can embed into your own web app, enabling you to define custom front-ends and workflows while relying on its robust commerce services for catalog, cart, checkout, orders, and customer management. Because it separates core logic from presentation, developers can integrate it into a variety of stacks, customize behavior, and extend functionality without modifying the core code. The engine is built in PHP and focuses on performance and maintainability, making it suitable for medium to large businesses that need seamless integration with existing systems like ERP or CRM. -
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deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
...For learners and researchers interested in reinforcement learning, this repo offers a concrete, runnable example bridging theory and practice: you can execute the code, play with hyperparameters, observe convergence behavior, and see how deep Q-learning learns policies over time in standard environments. Because it’s self-contained and Python-based, it's well-suited for experimentation, modifications, or extension — for instance adapting to custom Gym environments, tweaking network architecture, or combining with other RL techniques. -
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Weave GitOps
Weave GitOps provides insights into your application deployments
Weave GitOps is a simple, open source developer platform for people who want cloud-native applications but who don't have Kubernetes expertise. Experience how easy it is to enable GitOps and run your apps in a cluster. Use Git to collaborate with team members making new deployments easy and secure. Start with what developers need to run apps, and then easily extend to define and run your own enterprise platform. Our vision is that all cloud-native applications should be easy for developers... -
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DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning,...
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errsole.js
Collect, Store, and Visualize Logs with a Single Module
Errsole is an open-source logger for Node.js. It has a built-in web dashboard to view, filter, and search your app logs. -
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whylogs
The open standard for data logging
...They capture key statistical properties of data, such as the distribution (far beyond simple mean, median, and standard deviation measures), the number of missing values, and a wide range of configurable custom metrics. By capturing these summary statistics, we are able to accurately represent the data and enable all of the use cases described in the introduction. -
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Kubernetes Operator Pythonic Framework
A Python framework to write Kubernetes operators in just a few lines
Kopf —Kubernetes Operator Pythonic Framework— is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic). The project was originally started as zalando-incubator/kopf in March 2019, and then forked as nolar/kopf in August 2020: but it is the same codebase, the same packages, the same developer(s). A full-featured operator in just 2 files: a Dockerfile + a Python file (*). ... -
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Rules Engine
A Json based Rules Engine with extensive Dynamic expression support
A Json-based Rules Engine with extensive Dynamic expression support. RulesEngine is a highly extensible library to build a rule-based system using C# expressions. Rules Engine is a library/NuGet package for abstracting business logic/rules/policies out of a system. It provides a simple way of giving you the ability to put your rules in a store outside the core logic of the system, thus ensuring that any change in rules don't affect the core system. You need to store the rules based on the... -
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OpenIddict
Versatile OpenID Connect stack for ASP.NET Core and Microsoft.Owin
...Developers looking for a simple and turnkey solution are strongly encouraged to use OrchardCore and its OpenID module, which is based on OpenIddict, comes with sensible defaults and offers a built-in management GUI to easily register OpenID client applications. Unlike many other identity providers, OpenIddict is not a turnkey solution but a framework that requires writing custom code to be operational (typically, at least an authorization controller), making it a poor candidate for the certification program. While a reference implementation could be submitted as-is, this wouldn't guarantee that implementations deployed by OpenIddict users would be standard-compliant. -
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BentoML
Unified Model Serving Framework
BentoML simplifies ML model deployment and serves your models at a production scale. Support multiple ML frameworks natively: Tensorflow, PyTorch, XGBoost, Scikit-Learn and many more! Define custom serving pipeline with pre-processing, post-processing and ensemble models. Standard .bento format for packaging code, models and dependencies for easy versioning and deployment. Integrate with any training pipeline or ML experimentation platform. Parallelize compute-intense model inference workloads to scale separately from the serving logic. ... -
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aws-encryption-sdk-cli
CLI wrapper around aws-encryption-sdk-python
...A qualifier to this is that when encrypting a file, if a directory is provided as the destination, rather than creating the source filename in the destination directory, a suffix is appended to the destination filename. By default the suffix is .encrypted when encrypting and .decrypted when decrypting, but a custom suffix can be provided by the caller if desired. -
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formidable
The most used, flexible, fast and streaming parser
The most used, flexible, fast and streaming parser for multipart form data. Supports uploading to serverless environments, AWS S3, Azure, GCP or the filesystem. Used in production. This project is semantically versioned and available as part of the Tidelift Subscription for professional-grade assurances, enhanced support and security. The maintainers of formidable and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the Open Source...