Search Results for "call" - Page 9
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Showing 1451 open source projects for "call"
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AGI (Android GPU Inspector)
Android GPU Inspector
Android GPU Inspector (AGI) is a desktop tool for profiling, tracing, and debugging graphics workloads running on Android devices. It helps developers analyze Vulkan and OpenGL ES applications at the system, frame, and draw-call levels to uncover GPU and CPU bottlenecks. AGI captures detailed performance counters, timelines, and pipeline state to reveal stalls, overdraw, shader hotspots, and inefficient resource usage. Its frame debugger lets you step through commands, inspect render targets and textures, review shaders, and experiment with pipeline changes to validate optimizations. ... -
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Go gRPC Middleware
Golang gRPC Middlewares: interceptor chaining, auth, logging, retries
gRPC Go has support for "interceptors", i.e. middleware that is executed either on the gRPC Server before the request is passed onto the user's application logic, or on the gRPC client either around the user call. It is a perfect way to implement common patterns: auth, logging, tracing, metrics, validation, retries, rate limiting, and more, which can be great generic building blocks that make it easy to build multiple microservices. Especially for observability signals (logging, tracing, metrics) interceptors offer semi-auto-instrumentation that improves the consistency of your observability and allows great correlation techniques (e.g. exemplars and trace ID in logs). ... -
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PackageCompiler
Compile your Julia Package
Julia is, in general, a "just-barely-ahead-of-time" compiled language. When you call a function for the first time, Julia compiles it for precisely the types of arguments given. This can take some time. All subsequent calls within that same session use this fast compiled function, but if you restart Julia you lose all the compiled work. PackageCompiler allows you to do this work upfront — further ahead of time — and store the results for a lower latency startup. -
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Prometheus JVM Client
Prometheus instrumentation library for JVM applications
...We recommend to use an up-to-data Java 8 installation. The project provides the maven wrapper and therefore no local maven installation is needed. To build the repository just call ./mvnw verify. -
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DreamFactory
DreamFactory API Management Platform
DreamFactory can run on private, public, or hybrid cloud infrastructure. DreamFactory is easy to deploy with Docker, Kubernetes, or directly from GitHub using our automated installers. Eliminate the biggest bottleneck in modern IT. Launch your project in weeks rather than months. DreamFactory instantly creates a secure, standardized, reusable, fully documented, and live REST API. Connect Salesforce to SQL Server, or your ERP to AWS S3. Transform and mask data along the way. Create reports,... -
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.NET MAUI Community Toolkit
The .NET MAUI Community Toolkit is a community-created library
The .NET MAUI Community Toolkit is a collection of common elements for development with .NET MAUI that developers tend to replicate across multiple apps. It simplifies and demonstrates common developer tasks when building apps with .NET MAUI. And – the best part – the features you add to the .NET MAUI Toolkit may one day be included into the official .NET MAUI library! We leverage the Community Toolkits to debut new features and work closely with the .NET MAUI engineering team to nominate... -
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Gotenberg
A Docker-powered stateless API for PDF files
...The webhook feature allows you to upload the output file to the destination of your choice. There are many options to fit your requirements, from the custom HTTP headers sent to your webhook to the HTTP method used to call it. Gotenberg is a platform composed of modules; each module has properties you may customize to your flavor. Build your own Docker image by adding new tools and create modules that provide new routes to the API. Gotenberg provides a developer-friendly API to interact with powerful tools like Chromium and LibreOffice for converting numerous document formats (HTML, Markdown, Word, Excel, etc.) into PDF files, and more! -
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Ansible Molecule
Molecule aids in the development and testing of Ansible roles
...Depending on the driver chosen, you may need to install additional OS packages. See INSTALL.rst, which is created when initializing a new scenario. Ansible is not listed as a direct dependency of molecule package because we only call it as a command-line tool. You may want to install it using your distribution package installer. It is your responsibility to assure that soft dependencies of Ansible are available on your controller or host machines. -
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Faker for Python
Python package that generates fake data for you
Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. Starting from version 4.0.0, Faker dropped support for Python 2 and from version 5.0.0 only supports Python 3.6 and above. If you still need Python 2 compatibility, please install version 3.0.1 in the meantime, and please consider updating... -
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Groq Python
The official Python Library for the Groq API
Groq Python is the official Python SDK for the Groq REST API, giving Python developers straightforward access to Groq’s LLM, chat, audio, and other AI services. Through this library, you can call Groq’s models from Python code — for example to request chat completions, code generation, transcription, or any supported endpoint — using idiomatic Python syntax. The SDK handles authentication (via environment variable or parameter), defines proper type-safe request/response data types, and supports both synchronous and asynchronous usage patterns depending on your application needs. ... -
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GraphQL Java Tools
A schema-first tool for graphql-java inspired by graphql-tools for JS
This library allows you to use the GraphQL schema language to build your graphql-java schema. Inspired by graphql-tools, it parses the given GraphQL schema and allows you to BYOO (bring your own object) to fill in the implementations. GraphQL Java Tools works extremely well if you already have domain POJOs that hold your data (e.g. for RPC, ORM, REST, etc) by allowing you to map these magically to GraphQL objects. GraphQL Java Tools aims for seamless integration with Java, but works for any... -
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Bloom filters
Go package implementing Bloom filters
A Bloom filter is a concise/compressed representation of a set, where the main requirement is to make membership queries; i.e., whether an item is a member of a set. A Bloom filter will always correctly report the presence of an element in the set when the element is indeed present. A Bloom filter can use much less storage than the original set, but it allows for some 'false positives': it may sometimes report that an element is in the set whereas it is not. When you construct, you need to... -
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ServiceStack
Simple, fast, versatile and full-featured services framework
...By using simple & pure dependency-free DTO models decoupled from any implementation we're free to continue layering on features which now sees ServiceStack APIs as the most versatile in the world where the same high-performance APIs can be consumed from HTTP in any combination of Route, QueryString, FormData or a myriad of data formats, via popular resilient MQ Servers whilst simultaneously supporting legacy integrations like SOAP or adopting new technologies like gRPC without sacrificing any native HTTP integrations. To maximize the value of APIs we're focused beyond the API boundary by making it as simple as possible for API Consumers to call your APIs. -
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Anthropic SDK Python
Provides convenient access to the Anthropic REST API from any Python 3
...The library includes definitions for all request and response parameters using Python typed objects, automatically handles serialization and deserialization, and wraps HTTP logic (timeouts, retries, error mapping) so that developers can call the API in a clean, high-level way. The SDK supports both synchronous and asynchronous usage (via async/await) depending on context. Importantly, it also supports streaming responses via Server-Sent Events (SSE) so that large outputs can be consumed incrementally rather than waiting for the full response. The client offers helper abstractions for tools (function-style “tools”) and streaming utilities for building interactive agents. -
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getty
Asynchronous network I/O library
...Additionally, you can manage heartbeat logic within the (Codec)OnCron method in codec.go. If you're using TCP or UDP, you should send heartbeat packages yourself and then call session.go's (Session)UpdateActive method to update the session's activity timestamp. You can verify if a TCP session has timed out or not in codec.go's (Codec)OnCron method using session.go's (Session)GetActive method. -
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gopy
gopy generates a CPython extension module from a go package
...For example, the GoGi GUI library is fully usable from python now (do make; make install in the python directory there, and try the examples/widgets/widgets.py demo). Callback methods from Go into Python now work: you can pass a python function to a Go function that has a function argument, and it will call the python function appropriately. -
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next-firebase-auth
Simple Firebase authentication for all Next.js rendering strategies
...This package makes it simple to get the authenticated Firebase user and ID token during both client-side and server-side rendering (SSR). We treat the Firebase JS SDK as the source of truth for auth status. When the user signs in, we call an endpoint to generate a refresh token and store the user info, ID token, and refresh token in cookies. Future requests to SSR pages receive the user info and ID token from cookies, refreshing the ID token as needed. When the user logs out, we unset the cookies. This package will likely be helpful if you're using Firebase authentication and expect to use server-side rendering—especially if you need access to Firebase ID tokens on the server side. ... -
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electron-store
Simple data persistence for your Electron app or module
...This module handles that for you, so you can focus on building your app. You can use this module directly in both the main and renderer process. For use in the renderer process only, you need to call Store.initRenderer() in the main process, or create a new Store instance (new Store()) in the main process. Changes are written to disk atomically, so if the process crashes during a write, it will not corrupt the existing config. Under the hood, the JSON Schema validator ajv is used to validate your config. We use JSON Schema draft-07 and support all validation keywords and formats. ... -
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Tracy
Ease debugging PHP code for cool developers
...They are trusted by a number of global corporations and many significant websites rely on us. Have you made a mistake in your code? PHP will lets you know by a nerror notice and a gibberish call stack, not easy to work with. -
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Kanwas
Shared context board for teams and agents
Kanwas is an open-source shared context board built for teams and AI agents working together in the same workspace. It gives people and agents a common canvas where documents, evidence, decisions, notes, tasks, embeds, and outputs can live side by side. Instead of scattering context across chats, documents, and disconnected tools, Kanwas turns messy collaborative work into a shared visual environment that both humans and agents can read and update. The platform supports real-time... -
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Agentic Data Scientist
An end-to-end Data Scientist
...Unlike traditional scripted pipelines, this project lets AI agents break down high-level research goals into sub-tasks such as data acquisition, cleaning, modeling, evaluation, and reporting, with minimal human direction. Each agent is designed to independently call functions, interact with data sources, and adapt to uncertainties during processing, enabling iterative refinement of models without manual coordination. The framework supports interoperability with existing data tools and libraries, letting the agents leverage libraries like pandas, scikit-learn, and visualization frameworks to perform real computations rather than mock demonstrations. -
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xyOps
A complete workflow automation and server monitoring system
xyOps is an all-in-one operations platform that combines job scheduling, workflow automation, server monitoring, alerting, and incident response into a single cohesive system. Instead of stitching together separate tools for cron jobs, runbooks, health checks, on-call alerts, and incident workflows, xyOps aims to keep the whole automation and reliability stack in one place. It is built with developers and ops teams in mind, emphasizing control, extensibility, and the ability to run the platform anywhere without vendor lock-in. A core theme is transparency: you can see what automation is running, why it ran, what it touched, and how it behaved over time, which is critical when you are debugging production issues. ... -
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TarpC
An RPC framework for Rust with a focus on ease of use
...It bakes in RPC concerns such as deadlines, cancellation, and context propagation so production behavior is predictable under load. The programming model feels native—call methods on a client stub and await results—while the server side exposes clean concurrency primitives for handling many requests. Because the interface is just Rust code, refactoring and IDE tooling work naturally without an external IDL. -
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The Web MCP
A powerful Model Context Protocol (MCP) server
Bright Data’s Web MCP server gives AI assistants robust, real-time web capabilities through an MCP interface designed to avoid blocks, rate limits, and CAPTCHAs. It presents search, crawl, navigate, and extraction tools that agents can call directly, replacing brittle scraping prompts with typed operations. The README markets it as a “gateway” to the live web so assistants don’t fall back to stale training data. Bright Data also advertises a getting-started tier with a free monthly allotment, plus options for remote or self-hosted operation depending on governance needs. ... -
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Anthropic SDK TypeScript
Access to Anthropic's safety-first language model APIs
...The library is designed for server-side use, interfacing with REST, and is stable for integration in web services or backend agents. Example usage shows how to instantiate the Anthropic client, call client.messages.create(...), and obtain responses. It supports streaming endpoints as well. Because TypeScript provides type safety, it helps avoid common errors in JSON interplay. The repo also includes documentation (API spec in api.md) and examples (e.g. streaming examples).
