1202 Integrations with Python
View a list of Python integrations and software that integrates with Python below. Compare the best Python integrations as well as features, ratings, user reviews, and pricing of software that integrates with Python. Here are the current Python integrations in 2025:
-
1
TF-Agents
Tensorflow
TensorFlow Agents (TF-Agents) is a comprehensive library designed for reinforcement learning in TensorFlow. It simplifies the design, implementation, and testing of new RL algorithms by providing well-tested modular components that can be modified and extended. TF-Agents enables fast code iteration with good test integration and benchmarking. It includes a variety of agents such as DQN, PPO, REINFORCE, SAC, and TD3, each with their respective networks and policies. It also offers tools for building custom environments, policies, and networks, facilitating the creation of complex RL pipelines. TF-Agents supports both Python and TensorFlow environments, allowing for flexibility in development and deployment. It is compatible with TensorFlow 2.x and provides tutorials and guides to help users get started with training agents on standard environments like CartPole. -
2
DeepSeek-Coder-V2
DeepSeek
DeepSeek-Coder-V2 is an open source code language model designed to excel in programming and mathematical reasoning tasks. It features a Mixture-of-Experts (MoE) architecture with 236 billion total parameters and 21 billion activated parameters per token, enabling efficient processing and high performance. The model was trained on an extensive dataset of 6 trillion tokens, enhancing its capabilities in code generation and mathematical problem-solving. DeepSeek-Coder-V2 supports over 300 programming languages and has demonstrated superior performance on benchmarks such surpassing other models. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, optimized for instruction-based tasks; DeepSeek-Coder-V2-Base, suitable for general text generation; and lightweight versions like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, designed for environments with limited computational resources. -
3
Imagine Robotify
Imagine Learning
Imagine Robotify is a browser-based robotics simulator that teaches students in grades 3–8 how to code in a fun, engaging, and playful way. With no downloads or installation required, it is both affordable and accessible. It utilizes a three-part foundational framework, learn, create, and compete, where students interact with unique 3D environments and a fleet of virtual robots. It offers over 100 hours of curriculum and 1,000+ challenges, teaching foundational programming concepts like loops, variables, and functions. Students apply their knowledge through project-based learning, building and sharing coding projects. It introduces game-based learning, allowing students to participate in competitions that reinforce their coding skills. Imagine Robotify supports both block-based coding (Blockly) and Python, catering to various skill levels. -
4
Scottie
Scottie
Describe what you need in plain English. Scottie turns it into a working agent you can run on our cloud or export to your own hosting service. Join our waitlist today to secure your spot and get exclusive early access to premium features. Everything you need to build, test, and deploy AI agents in minutes. Pick from today's leading language models and switch anytime without rebuilding (OpenAI, Gemini, Anthropic, Llama, and more). Bring your company knowledge together from Slack, Google Drive, Notion, Confluence, GitHub, and more. Your data stays private and secure. Scottie supports models from all top vendors. Switch models anytime without rebuilding your agents. Scottie agents adapt to different roles and industries, operating exactly how you need them to. The AI tutor analyzes student responses, provides personalized feedback, and adapts difficulty based on performance. -
5
Upsonic
Upsonic
Upsonic is an open source framework that simplifies AI agent development for business needs. It enables developers to build, manage, and deploy agents with integrated Model Context Protocol (MCP) tools across cloud and local environments. Upsonic reduces engineering effort by 60-70% with built-in reliability features and service client architecture. It offers a client-server architecture that isolates agent applications, keeping existing systems healthy and stateless. It provides more reliable agents, scalability, and a task-oriented structure needed for completing real-world cases. Upsonic supports autonomous agent characterization, allowing self-defined goals and backgrounds, and integrates computer-use capabilities for executing human-like tasks. With direct LLM call support, developers can access models without abstraction layers, completing agent tasks faster and more cost-effectively. -
6
The Rapid Analytics Platform is ICE Mortgage Technology’s cloud-based solution designed to streamline the analysis of large datasets and the creation of analytic models. It offers a turnkey environment where users can access diverse data assets and perform advanced analytics with real-time, high-speed processing capabilities, delivering exceptionally fast results even in complex scenarios. RAP supports multiple programming languages, including SQL, Python, R, and Scala, and features a familiar integrated development environment for writing and organizing code, running queries, and building advanced analytics. It provides daily refreshed data managed in the cloud, ensuring easy access to the most current information. Users can share analytics and code snippets across their enterprise and integrate data and analytics with business-intelligence tools like Tableau and Power BI, with multiple pre-built dashboards available.
-
7
PyBullet
PyBullet
PyBullet is a Python module for physics simulation, robotics, and deep reinforcement learning, built on the Bullet Physics SDK. It supports loading articulated bodies from URDF, SDF, and other formats, providing forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. PyBullet offers rendering capabilities, including a CPU renderer and OpenGL visualization, with support for virtual reality headsets. It is utilized in various research projects, such as Assistive Gym, which leverages PyBullet for physical human-robot interaction and assistive robotics, supporting collaborative robots and physically assistive tasks. Another project, Kubric, is an open source Python framework interfacing with PyBullet and Blender to generate photo-realistic scenes with rich annotations, scaling to large jobs distributed over thousands of machines. -
8
CarMaker
IPG Automotive
CarMaker is a simulation solution specifically designed for the development and seamless testing of cars and light-duty vehicles across all development stages (MIL, SIL, HIL, VIL). It offers a high-performance, real-time capable vehicle model to build virtual prototypes early in the development process. All components can be replaced with customer-specific models or hardware. By combining the virtual prototype with an adaptive driver model, a complex traffic model, and a detailed road and environment model, automated and reproducible tests are possible at any time. The well-structured user interface guarantees easy parameterization. CarMaker's new visualization tool, Movie NX, enables photorealistic simulation of scenarios. Thanks to light and weather effects, real scenarios in the virtual world may take place at any time of day and during any season. Built-in camera models with HDR capability allow for realistic testing of camera systems. -
9
Airweave
Airweave
Airweave is an open source platform that transforms application data into agent-ready knowledge, enabling AI agents to semantically search across various apps, databases, and document stores. It simplifies the process of building intelligent agents by offering no-code solutions, instant data synchronization, and scalable deployment options. Users can connect their data sources using OAuth2, API keys, or database credentials, initiate data synchronization with minimal configuration, and provide agents with a unified search endpoint to access the necessary information. Airweave supports over 100 connectors, including integrations with Google Drive, Slack, Notion, Jira, GitHub, and Salesforce, allowing agents to access a wide range of data sources. It handles the entire data pipeline, from authentication and extraction to embedding and serving, automating tasks such as data ingestion, enrichment, mapping, and syncing to vector stores and graph databases. -
10
Beam Cloud
Beam Cloud
Beam is a serverless GPU platform designed for developers to deploy AI workloads with minimal configuration and rapid iteration. It enables running custom models with sub-second container starts and zero idle GPU costs, allowing users to bring their code while Beam manages the infrastructure. It supports launching containers in 200ms using a custom runc runtime, facilitating parallelization and concurrency by fanning out workloads to hundreds of containers. Beam offers a first-class developer experience with features like hot-reloading, webhooks, and scheduled jobs, and supports scale-to-zero workloads by default. It provides volume storage options, GPU support, including running on Beam's cloud with GPUs like 4090s and H100s or bringing your own, and Python-native deployment without the need for YAML or config files. -
11
NVIDIA DeepStream SDK
NVIDIA
NVIDIA's DeepStream SDK is a comprehensive streaming analytics toolkit based on GStreamer, designed for AI-based multi-sensor processing, including video, audio, and image understanding. It enables developers to create stream-processing pipelines that incorporate neural networks and complex tasks like tracking, video encoding/decoding, and rendering, facilitating real-time analytics on various data types. DeepStream is integral to NVIDIA Metropolis, a platform for building end-to-end services that transform pixel and sensor data into actionable insights. The SDK offers a powerful and flexible environment suitable for a wide range of industries, supporting multiple programming options such as C/C++, Python, and Graph Composer's intuitive UI. It allows for real-time insights by understanding rich, multi-modal sensor data at the edge and supports managed AI services through deployment in cloud-native containers orchestrated with Kubernetes. -
12
TILDE
ielab
TILDE (Term Independent Likelihood moDEl) is a passage re-ranking and expansion framework built on BERT, designed to enhance retrieval performance by combining sparse term matching with deep contextual representations. The original TILDE model pre-computes term weights across the entire BERT vocabulary, which can lead to large index sizes. To address this, TILDEv2 introduces a more efficient approach by computing term weights only for terms present in expanded passages, resulting in indexes that are 99% smaller than those of the original TILDE. This efficiency is achieved by leveraging TILDE as a passage expansion model, where passages are expanded using top-k terms (e.g., top 200) to enrich their content. It provides scripts for indexing collections, re-ranking BM25 results, and training models using datasets like MS MARCO. -
13
Qualcomm AI Inference Suite
Qualcomm
The Qualcomm AI Inference Suite is a comprehensive software platform designed to streamline the deployment of AI models and applications across cloud and on-premises environments. It offers seamless one-click deployment, allowing users to easily integrate their own models, including generative AI, computer vision, and natural language processing, and build custom applications using common frameworks. The suite supports a wide range of AI use cases such as chatbots, AI agents, retrieval-augmented generation (RAG), summarization, image generation, real-time translation, transcription, and code development. Powered by Qualcomm Cloud AI accelerators, it ensures top performance and cost efficiency through embedded optimization techniques and state-of-the-art models. It is designed with high availability and strict data privacy in mind, ensuring that model inputs and outputs are not stored, thus providing enterprise-grade security. -
14
Electrum-LTC
Electrum-LTC
Electrum-LTC is a simple yet powerful Litecoin wallet that allows for instant use without downloading the entire blockchain, as it operates through a tamper-proof, remote server. Your unique secret phrase (or “seed”) ensures security, keeping your private keys safe and never sent to Electrum-LTC servers. All information received is verified using Simplified Payment Verification (SPV). The wallet supports cold storage, enabling you to generate and manage secure offline wallets, and allows exporting of private keys to other Litecoin clients. Electrum-LTC is a community-maintained port of Electrum, the Bitcoin wallet, to Litecoin, and is not an official product of Electrum Technologies GmbH. Always verify the digital signatures of the files you download. Electrum-LTC supports Segwit and uses a 128-bit random seed represented as a 12-word mnemonic code. -
15
Mistral Code
Mistral AI
Mistral Code is an AI-powered coding assistant designed to enhance software engineering productivity in enterprise environments by integrating powerful coding models, in-IDE assistance, local deployment options, and comprehensive enterprise tooling. Built on the open-source Continue project, Mistral Code offers secure, customizable AI coding capabilities while maintaining full control and visibility inside the customer’s IT environment. It supports over 80 programming languages and advanced functionalities such as multi-step refactoring, code search, and chat assistance, enabling developers to complete entire tickets, not just code completions. The platform addresses common enterprise challenges like proprietary repo connectivity, model customization, broad task coverage, and unified service-level agreements (SLAs). Major enterprises such as Abanca, SNCF, and Capgemini have adopted Mistral Code, using hybrid cloud and on-premises deployments. -
16
Gemini 2.5 Flash-Lite
Google
Gemini 2.5 is Google DeepMind’s latest generation AI model family, designed to deliver advanced reasoning and native multimodality with a long context window. It improves performance and accuracy by reasoning through its thoughts before responding. The model offers different versions tailored for complex coding tasks, fast everyday performance, and cost-efficient high-volume workloads. Gemini 2.5 supports multiple data types including text, images, video, audio, and PDFs, enabling versatile AI applications. It features adaptive thinking budgets and fine-grained control for developers to balance cost and output quality. Available via Google AI Studio and Gemini API, Gemini 2.5 powers next-generation AI experiences. -
17
String.com
Pipedream
String is the first text-to-agent platform by Pipedream that lets you prompt, run, edit, and deploy AI agents in seconds, no drag-and-drop canvases, just natural language commands that generate production-ready code. Backed by Pipedream’s five years of experience building thousands of app integrations and Internet-scale agent infrastructure, String connects to over 2,700 APIs and embeds 10,000+ tools with managed authentication, so your agents can solve ten times more use cases than typical no-code builders. The intuitive web interface guides you through creating agents that monitor GitHub issues and automate ticket creation, schedule meetings, analyze data, send Slack messages, post to social media, update databases, and much more, all with full audit trails, customizable queues, and built-in data stores. Real-time dashboards display agent performance, logs, and metrics, while built-in security and privacy controls (SOC 2 Type II, ISO 27001, HIPAA, GDPR) ensure safe operation. -
18
XBOW
XBOW
XBOW is an AI-powered offensive security platform that autonomously discovers, verifies, and exploits vulnerabilities in web applications without human intervention. By executing high-level commands against benchmark descriptions and reviewing outputs it solves a wide array of challenges, from CBC padding oracle and IDOR attacks to remote code execution, blind SQL injection, SSTI bypasses, and cryptographic exploits, achieving success rates up to 75 percent on standard web security benchmarks. Given only general instructions, XBOW orchestrates reconnaissance, exploit development, debugging, and server-side analysis, drawing on public exploits and source code to craft custom proofs-of-concept, validate attack vectors, and generate detailed exploit traces with full audit trails. Its ability to adapt to novel and modified benchmarks demonstrates robust scalability and continuous learning, dramatically accelerating penetration-testing workflows. -
19
Grok 4 Heavy
xAI
Grok 4 Heavy is the most powerful AI model offered by xAI, designed as a multi-agent system to deliver cutting-edge reasoning and intelligence. Built on the Colossus supercomputer, it achieves a 50% score on the challenging HLE benchmark, outperforming many competitors. This advanced model supports multimodal inputs including text and images, with plans to add video capabilities. Grok 4 Heavy targets power users such as developers, researchers, and technical enthusiasts who require top-tier AI performance. Access is provided through the premium “SuperGrok Heavy” subscription priced at $300 per month. xAI has enhanced moderation and removed problematic system prompts to ensure responsible and ethical AI use. -
20
Sim Studio
Sim Studio
Sim Studio is a powerful, AI-native platform for designing, testing, and deploying agentic workflows through an intuitive, Figma-like visual editor that eliminates boilerplate code and infrastructure overhead. Developers can immediately start building multi-agent applications with full control over system prompts, tool definitions, sampling parameters, and structured output formatting, while maintaining the flexibility to switch seamlessly among OpenAI, Anthropic, Claude, Llama, Gemini, and other LLM providers without refactoring. The platform supports full local development via Ollama integration for privacy and cost efficiency during prototyping, then enables scalable cloud deployment when you’re ready. Sim Studio connects your agents to existing tools and data sources in seconds, importing knowledge bases automatically and offering over 40 pre-built integrations. -
21
ThirdLine
ThirdLine
ThirdLine is a modern oversight platform built to audit, report, and optimize government ERP operations for local governments and schools by providing hundreds of no‑code analytics across finance, accounting, audit, and IT. It integrates seamlessly with leading ERP systems, including Tyler Enterprise ERP powered by Munis, Oracle Fusion and Workday, and supports modules such as accounts payable, accounts receivable, general ledger, payroll, purchasing, purchasing card, roles & permissions, travel and entertainment, vendor and human resources to deliver continuous monitoring, risk assessment, compliance reporting and real‑time budget‑to‑actual variance analysis. Key features include continuous audit and fraud detection with nightly analytics, segregation‑of‑duties enforcement, duplicate invoice recovery, pending requisition tracking, quick monthly close, automated alerts via email, interactive dashboards that trace each transaction’s origin, approval history, and participants. -
22
Naptha
Naptha
Naptha is a modular AI platform for autonomous agents that empowers developers and researchers to build, deploy, and scale cooperative multi‑agent systems on the agentic web. Its core innovations include Agent Diversity, which continuously upgrades performance by orchestrating diverse models, tools, and architectures; Horizontal Scaling, which supports collaborative networks of millions of AI agents; Self‑Evolved AI, where agents learn and optimize themselves beyond human‑designed capabilities; and AI Agent Economies, which enable autonomous agents to generate useful goods and services. Naptha integrates seamlessly with popular frameworks and infrastructure, LangChain, AgentOps, CrewAI, IPFS, NVIDIA stacks, and more, via a Python SDK that upgrades existing agent frameworks with next‑generation enhancements. Developers can extend or publish reusable components on the Naptha Hub, run full agent stacks anywhere a container can execute on Naptha Nodes. -
23
Macrobond
Macrobond
From the first question to the final chart, Macrobond powers the entire research process by centralizing data management, advanced analysis, visualization, and reporting in a seamless workflow. Users consolidate their work by tapping into a clean, searchable library of over 2,400 global financial and economic sources; analyze in‑platform using built‑in calculation and comparison functions without exporting data; visualize results instantly with customizable charting tools that communicate insights clearly; and publish polished, up‑to‑date reports ready for presentation. Macrobond’s end‑to‑end platform streamlines research steps, accelerates time to insight, and ensures consistency and accuracy across projects, so teams can think fast and make faster, data‑driven decisions. -
24
Droidrun
Droidrun
Droidrun is a native mobile agent platform that gives users natural-language control over real Android devices to automate any mobile app workflow, from logins and bookings to purchases and data extraction, including access to mobile-only content behind app logins, rate limits, or platform restrictions. Its cloud offering lets users spin up agents in seconds with preinstalled apps, run tasks in parallel across multiple devices, and compose complex, multi-step conditional workflows using conversational commands; recorded workflows can be auto-replayed at high speed. Credential management securely stores login information once for reuse, and the system integrates with existing stacks like LLMs, N8N, or custom scripts to inject real app execution into broader automation pipelines. Developers get SDK examples (including Python integrations with Gemini or Ollama) for embedding Droidrun into their tooling. -
25
Azure DevOps Labs
Microsoft
Azure DevOps Labs is a free, community-driven collection of self-paced, hands-on tutorials designed to teach every aspect of the Azure DevOps toolchain and related DevOps practices. From configuring Agile planning with Azure Boards and version control in Azure Repos to defining build and release pipelines as code with YAML, enabling CI/CD in Azure Pipelines, managing packages in Azure Artifacts, and orchestrating tests with Azure Test Plans, each lab provides step-by-step exercises and sample code repositories. You can spin up ready-made projects using the Azure DevOps Demo Generator, explore end-to-end scenarios like deploying Docker-based web applications, integrating Terraform for infrastructure-as-code, scanning for security vulnerabilities, monitoring performance with Application Insights, and automating database changes with Redgate. Prerequisites include an Azure DevOps organization and an Azure subscription, but no prior experience is required. -
26
gpt-oss-20b
OpenAI
gpt-oss-20b is a 20-billion-parameter, text-only reasoning model released under the Apache 2.0 license and governed by OpenAI’s gpt-oss usage policy, built to enable seamless integration into custom AI workflows via the Responses API without reliance on proprietary infrastructure. Trained for robust instruction following, it supports adjustable reasoning effort, full chain-of-thought outputs, and native tool use (including web search and Python execution), producing structured, explainable answers. Developers must implement their own deployment safeguards, such as input filtering, output monitoring, and usage policies, to match the system-level protections of hosted offerings and mitigate risks from malicious or unintended behaviors. Its open-weight design makes it ideal for on-premises or edge deployments where control, customization, and transparency are paramount. -
27
gpt-oss-120b
OpenAI
gpt-oss-120b is a reasoning model engineered for deep, transparent thinking, delivering full chain-of-thought explanations, adjustable reasoning depth, and structured outputs, while natively invoking tools like web search and Python execution via the API. Built to slot seamlessly into self-hosted or edge deployments, it eliminates dependence on proprietary infrastructure. Although it includes default safety guardrails, its open-weight architecture allows fine-tuning that could override built-in controls, so implementers are responsible for adding input filtering, output monitoring, and governance measures to achieve enterprise-grade security. As a community–driven model card rather than a managed service spec, it emphasizes transparency, customization, and the need for downstream safety practices. -
28
Claude Opus 4.1
Anthropic
Claude Opus 4.1 is an incremental upgrade to Claude Opus 4 that boosts coding, agentic reasoning, and data-analysis performance without changing deployment complexity. It raises coding accuracy to 74.5 percent on SWE-bench Verified and sharpens in-depth research and detailed tracking for agentic search tasks. GitHub reports notable gains in multi-file code refactoring, while Rakuten Group highlights its precision in pinpointing exact corrections within large codebases without introducing bugs. Independent benchmarks show about a one-standard-deviation improvement on junior developer tests compared to Opus 4, mirroring major leaps seen in prior Claude releases. Opus 4.1 is available now to paid Claude users, in Claude Code, and via the Anthropic API (model ID claude-opus-4-1-20250805), as well as through Amazon Bedrock and Google Cloud Vertex AI, and integrates seamlessly into existing workflows with no additional setup beyond selecting the new model. -
29
GPT-5 pro
OpenAI
GPT-5 Pro is OpenAI’s most advanced AI model, designed to tackle the most complex and challenging tasks with extended reasoning capabilities. It builds on GPT-5’s unified architecture, using scaled, efficient parallel compute to provide highly comprehensive and accurate responses. GPT-5 Pro achieves state-of-the-art performance on difficult benchmarks like GPQA, excelling in areas such as health, science, math, and coding. It makes significantly fewer errors than earlier models and delivers responses that experts find more relevant and useful. The model automatically balances quick answers and deep thinking, allowing users to get expert-level insights efficiently. GPT-5 Pro is available to Pro subscribers and powers some of the most demanding applications requiring advanced intelligence. -
30
GPT-5 thinking
OpenAI
GPT-5 Thinking is the deeper reasoning mode within the GPT-5 unified AI system, designed to tackle complex, open-ended problems that require extended cognitive effort. It works alongside the faster GPT-5 model, dynamically engaging when queries demand more detailed analysis and thoughtful responses. This mode significantly reduces hallucinations and improves factual accuracy, producing more reliable answers on challenging topics like science, math, coding, and health. GPT-5 Thinking is also better at recognizing its own limitations, communicating clearly when tasks are impossible or underspecified. It incorporates advanced safety features to minimize harmful outputs and provide nuanced, helpful answers even in ambiguous or sensitive contexts. Available to all users, it helps bring expert-level intelligence to everyday and advanced use cases alike. -
31
Lucidic AI
Lucidic AI
Lucidic AI is a specialized analytics and simulation platform built for AI agent development that brings much-needed transparency, interpretability, and efficiency to often opaque workflows. It provides developers with visual, interactive insights, including searchable workflow replays, step-by-step video, and graph-based replays of agent decisions, decision tree visualizations, and side‑by‑side simulation comparisons, that enable you to observe exactly how your agent reasons and why it succeeds or fails. The tool dramatically reduces iteration time from weeks or days to mere minutes by streamlining debugging and optimization through instant feedback loops, real‑time “time‑travel” editing, mass simulations, trajectory clustering, customizable evaluation rubrics, and prompt versioning. Lucidic AI integrates seamlessly with major LLMs and frameworks and offers advanced QA/QC mechanisms like alerts, workflow sandboxing, and more. -
32
LangMem
LangChain
LangMem is a lightweight, flexible Python SDK from LangChain that equips AI agents with long-term memory capabilities, enabling them to extract, store, update, and retrieve meaningful information from past interactions to become smarter and more personalized over time. It supports three memory types and offers both hot-path tools for real-time memory management and background consolidation for efficient updates beyond active sessions. Through a storage-agnostic core API, LangMem integrates seamlessly with any backend and offers native compatibility with LangGraph’s long-term memory store, while also allowing type-safe memory consolidation using schemas defined in Pydantic. Developers can incorporate memory tools into agents using simple primitives to enable seamless memory creation, retrieval, and prompt optimization within conversational flows. -
33
Paid.ai
Paid.ai
Paid.ai is a purpose-built platform that enables AI agent developers to seamlessly monetize, track costs, and automate billing for their autonomous agents. By capturing usage signals via lightweight SDKs, it provides real-time monitoring of LLM/API costs, margin visibility per agent, and alerts for cost spikes. Its flexible workflows facilitate multiple billing models, including per-agent, per-action, per-workflow, and outcome-based pricing, aligned with the way AI agents deliver business value. Paid.ai supports comprehensive revenue operations by automating invoice generation, offering pricing simulation tools, managing orders and payments, and embedding live value dashboards through its “Blocks” feature. Developers can integrate Paid.ai quickly into their systems using Node.js, Python, Go, or Ruby SDKs, enabling fast deployment of both cost tracking (free for the first year) and billing automation. -
34
Google Cloud Universal Ledger (GCUL) is a next-generation, permissioned layer-1 blockchain platform designed for financial institutions to manage commercial bank money and tokenized assets with unprecedented simplicity, flexibility, and security. It offers a programmable, multi-currency distributed ledger accessible via a unified API, eliminates the complexity of traditional payment infrastructure, and supports atomic settlement for near-instant transfers. Built with compliance in mind, the platform enforces KYC-verified accounts, transparent transaction fees, and private, auditable governance, while also fostering automation through programmatic workflows and integration with familiar developer tools like Python-based smart contracts. CE reactions and institutional testing underscore its real-world applicability; CME Group is piloting GCUL for tokenized settlement workflows in areas like collateral and margin processing.
-
35
PyMuPDF
Artifex
PyMuPDF is a high-performance, Python-centric library for reading, extracting, and manipulating PDFs with ease and precision. It enables developers to access text, images, fonts, annotations, metadata, and structural layout of PDF documents, and to perform tasks such as extracting content, editing objects, rendering pages, searching text, modifying page content, and manipulating PDF components like links and annotations. PyMuPDF also supports advanced operations like splitting, merging, inserting, or deleting pages; drawing and filling shapes; handling color spaces; and converting between formats. The library is lightweight but robust, optimized for speed and low memory overhead. On top of the base PyMuPDF, PyMuPDF Pro adds support for reading and writing Microsoft Office-format documents and enhanced functionality for integrating Large Language Model (LLM) pipelines and Retrieval Augmented Generation (RAG). -
36
Ghostscript
Artifex
Ghostscript is a powerful PostScript and PDF interpreter developed by Artifex, offering a rendering engine and comprehensive graphics library for high-quality document processing. It handles interpreting, processing, and rendering PostScript files and PDFs, supports complex page description language features, and includes utilities for converting, rasterizing, and manipulating documents. Ghostscript also has .NET bindings (Ghostscript.NET) so it can be integrated into .NET applications, and there’s an enterprise version (Ghostscript Enterprise) that extends capabilities to reading and processing common office documents like Word, PowerPoint, and Excel. The product is designed for precision rendering, color space management, and reliable output, making it suitable for both programmatic document workflows and production environments. -
37
Sudo
Sudo
Sudo offers “one API for all models”, a unified interface so developers can integrate multiple large language models and generative AI tools (for text, image, audio) through a single endpoint. It handles routing between different models to optimize for things like latency, throughput, cost, or whatever criteria you choose. The platform supports flexible billing and monetization options; subscription tiers, usage-based metered billing, or hybrids. It also supports in-context AI-native ads (you can insert context-aware ads into AI outputs, controlling relevance and frequency). Onboarding is quick: you create an API key, install their SDK (Python or TypeScript), and start making calls to the AI endpoints. They emphasize low latency (“optimized for real-time AI”), better throughput compared with some alternatives, and avoiding vendor lock-in. -
38
Claude Sonnet 4.5
Anthropic
Claude Sonnet 4.5 is Anthropic’s latest frontier model, designed to excel in long-horizon coding, agentic workflows, and intensive computer use while maintaining safety and alignment. It achieves state-of-the-art performance on the SWE-bench Verified benchmark (for software engineering) and leads on OSWorld (a computer use benchmark), with the ability to sustain focus over 30 hours on complex, multi-step tasks. The model introduces improvements in tool handling, memory management, and context processing, enabling more sophisticated reasoning, better domain understanding (from finance and law to STEM), and deeper code comprehension. It supports context editing and memory tools to sustain long conversations or multi-agent tasks, and allows code execution and file creation within Claude apps. Sonnet 4.5 is deployed at AI Safety Level 3 (ASL-3), with classifiers protecting against inputs or outputs tied to risky domains, and includes mitigations against prompt injection. -
39
Agent Builder
OpenAI
Agent Builder is part of OpenAI’s tooling for constructing agentic applications, systems that use large language models to perform multi-step tasks autonomously, with governance, tool integration, memory, orchestration, and observability baked in. The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools. -
40
ChatKit
OpenAI
ChatKit is a conversational AI toolkit that lets developers embed and manage chat agents across apps and websites. It provides capabilities such as chatting over external documents, text-to-speech, prompt templates, and shortcut triggers. Users can operate ChatKit either using their own OpenAI API key (paying according to OpenAI’s token pricing) or via ChatKit’s credit system (which requires a ChatKit license). ChatKit supports integrations with diverse model backends (including OpenAI, Azure OpenAI, Google Gemini, Ollama) and routing frameworks (e.g., OpenRouter). Feature offerings include cloud sync, team collaboration, web access, launcher widgets, shortcuts, and structured conversation flows over documents. In sum, ChatKit simplifies deploying intelligent chat agents without building the full chat infrastructure from scratch. -
41
PromptCompose
PromptCompose
PromptCompose is a prompt infrastructure platform designed to bring software engineering rigor to prompt workflows. It offers version control for prompts, automatically tracking every change with deployment logs, side-by-side comparisons, and rollback capability, and integrates AB testing so multiple prompt variants can run concurrently, traffic can be split, performance tracked, and winners deployed confidently. Developers can integrate seamlessly via SDKs (JavaScript/TypeScript) or REST APIs so prompts and experiments can be part of production systems. Projects are organized in a hub structure so teams can manage resources (prompts, templates, variable groups, tests) per project, with proper isolation and collaboration. PromptCompose supports prompt blueprints (templates) and variable groups so prompts can be parameterized with dynamic inputs in a consistent, reusable way. The editor includes features like syntax highlighting, autocomplete for variables, and error detection. -
42
Checkmarx
Checkmarx
The Checkmarx Software Security Platform provides a centralized foundation for operating your suite of software security solutions for Static Application Security Testing (SAST), Interactive Application Security Testing (IAST), Software Composition Analysis (SCA), and application security training and skills development. Built to address every organization’s needs, the Checkmarx Software Security Platform provides the full scope of options: including private cloud and on-premises solutions. Allowing a range of implementation options ensures customers can start securing their code immediately, rather than going through long processes of adapting their infrastructure to a single implementation method. The Checkmarx Software Security Platform transforms the standard for secure application development, providing one powerful resource with industry-leading capabilities. -
43
gedit
The GNOME Project
gedit is the text editor of the GNOME desktop environment. The first goal of gedit is to be easy to use, with a simple interface by default. More advanced features are available by enabling plugins. A flexible plugin system which can be used to dynamically add new advanced features. -
44
CodePatrol
Claranet
Automated code reviews driven by security. CodePatrol performs powerful SAST scans on your project source code and identifies security flaws early. Powered by Claranet and Checkmarx. CodePatrol provides support for a wide variety of languages and scans your code with multiple SAST engines for better results. Stay up-to-date with the latest code flaws in your project using automated alerting and user-defined filter rules. CodePatrol uses industry-leading SAST software provided by Checkmarx and expertise from Claranet Cyber Security to identify the latest threat vectors. Multiple code scanning engines are frequently triggered on your code base and perform in-depth analysis on your project. You may access CodePatrol anytime and retrieve the aggregated scan results in order to fix your project security flaws. -
45
CodePeer
AdaCore
The Most Comprehensive Static Analysis Toolsuite for Ada. CodePeer helps developers gain a deep understanding of their code and build more reliable and secure software systems. CodePeer is an Ada source code analyzer that detects run-time and logic errors. It assesses potential bugs before program execution, serving as an automated peer reviewer, helping to find errors easily at any stage of the development life-cycle. CodePeer helps you improve the quality of your code and makes it easier for you to perform safety and/or security analysis. CodePeer is a stand-alone tool that runs on Windows and Linux platforms and may be used with any standard Ada compiler or fully integrated into the GNAT Pro development environment. It can detect several of the “Top 25 Most Dangerous Software Errors” in the Common Weakness Enumeration. CodePeer supports all versions of Ada (83, 95, 2005, 2012). CodePeer has been qualified as a Verification Tool under the DO-178B and EN 50128 software standards. -
46
Jtest
Parasoft
Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress. -
47
CodeSonar
CodeSecure
CodeSonar employs a unified dataflow and symbolic execution analysis that examines the computation of the complete application. By not relying on pattern matching or similar approximations, CodeSonar's static analysis engine is extraordinarily deep, finding 3-5 times more defects on average than other static analysis tools. Unlike many software development tools, such as testing tools, compilers, configuration management, etc., SAST tools can be integrated into a team's development process at any time with ease. SAST technologies like CodeSonar simply attach to your existing build environments to add analysis information to your verification process. Like a compiler, CodeSonar does a build of your code using your existing build environment, but instead of creating object code, CodeSonar creates an abstract model of your entire program. From the derived model, CodeSonar’s symbolic execution engine explores program paths, reasoning about program variables and how they relate. -
48
Codepad
Codepad
Codepad is a place for developers to share & save code snippets. It's a remarkable community of developers that can help you with your code snippets to save time on your projects. Share snippets with entire community. You can choose the programming language and the type of snippet: public, private or part private. Organise your code snippets in a beautiful way, easy add and categories them in collections. You can follow and control the snippets version. Don't lose the previous written code. If you are a freelancer or a company you can receive the job or collaboration offers directly to your registered email. Find the best developers on Codepad and follow their profile. You will see their new code snippets directly in your timeline. -
49
Jedi
Jedi
Jedi is a static analysis tool for Python that is typically used in IDEs/editors plugins. Jedi has a focus on autocompletion and goto functionality. Other features include refactoring, code search and finding references. Jedi has a simple API to work with. There is a reference implementation as a VIM-Plugin. Autocompletion in your REPL is also possible, IPython uses it natively and for the CPython REPL you can install it. Jedi is well tested and bugs should be rare. A Script is the base for completions, goto or whatever you want to do with Jedi. The counter part of this class is Interpreter, which works with actual dictionaries and can work with a REPL. This class should be used when a user edits code in an editor. Most methods have a line and a column parameter. Lines in Jedi are always 1-based and columns are always zero based. To avoid repetition they are not always documented. -
50
CudaText
CudaText
CudaText is a cross-platform text editor, written in Object Pascal. It is open source project and can be used free of charge, even for business. It starts quite fast on Linux on CPU Intel Core i3 3GHz. It is extensible by Python add-ons, plugins, linters, code tree parsers, external tools. Syntax parser is feature-rich, from EControl engine. Syntax highlight for lot of languages (270+ lexers). Code tree structure of functions/classes/etc, if lexer allows it. Code folding, multi-carets and multi-selections. Find/Replace with regular expressions. Configs in JSON format. Including lexer-specific configs. Tabbed UI, with a split view to primary/secondary, and a split window to 2/3/4/6 groups of tabs. Command palette, with fuzzy matching, minimap, and micromap. Shows unprinted whitespace and offers support for many encodings. Customizable hotkeys. Binary/Hex viewer for files of unlimited size (can show 10 Gb logs).