Business Software for Python - Page 37
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Top Software that integrates with Python as of September 2025 - Page 37
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Mistral OCR
Mistral AI
Mistral AI's Document Capabilities provide a powerful set of tools for understanding, summarizing, and generating content from complex documents using advanced AI models. Designed for developers and businesses, these capabilities allow users to process large volumes of text efficiently, extracting key information, generating concise summaries, and even drafting new content based on the original document. By leveraging state-of-the-art language models, Mistral enables organizations to automate document-heavy workflows, from legal reviews and contract analysis to research paper summaries and business reports. The API allows seamless integration into existing systems, enabling real-time document processing and analysis. Mistral’s Document capabilities are especially suited for scenarios where quick comprehension of lengthy or technical materials is critical, reducing the time spent on manual reading and review. -
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ERNIE X1
Baidu
ERNIE X1 is an advanced conversational AI model developed by Baidu as part of their ERNIE (Enhanced Representation through Knowledge Integration) series. Unlike previous versions, ERNIE X1 is designed to be more efficient in understanding and generating human-like responses. It incorporates cutting-edge machine learning techniques to handle complex queries, making it capable of not only processing text but also generating images and engaging in multimodal communication. ERNIE X1 is often used in natural language processing applications such as chatbots, virtual assistants, and enterprise automation, offering significant improvements in accuracy, contextual understanding, and response quality.Starting Price: $0.28 per 1M tokens -
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Eventarc
Google
Google Cloud's Eventarc is a fully managed platform that enables developers to build event-driven architectures by routing events from various sources to supported destinations. It allows for the collection of events occurring within a system and publishes them to a specified destination, facilitating the creation of loosely coupled services that react to state changes. Eventarc supports events from Google Cloud services, custom applications, and third-party SaaS providers, providing flexibility in event-driven application design. Developers can create triggers to route events to various destinations, such as Cloud Run services, allowing for responsive and scalable application architectures. Eventarc ensures secure event delivery by integrating with Identity and Access Management (IAM), enabling fine-grained access control over event ingestion and processing. -
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FairCom RTG
FairCom
FairCom RTG modernizes COBOL and Btrieve applications by seamlessly replacing their native file systems with FairCom's advanced database engine, enhancing reliability, scalability, and performance without altering existing code. It enables real-time read/write access to live data through modern APIs, including JSON and SQL, facilitating business analytics and reporting without additional coding. With features like hot backups, automatic recovery, and ACID-compliant transactions, data integrity and uptime are significantly improved. FairCom RTG supports vertical scaling to thousands of users and horizontal scaling through replication for reporting, failover, and availability. The latest version introduces a JSON DB API, allowing simple JSON commands to manage COBOL data, and Hot Alter Table functionality for immediate schema modifications without rewriting records. -
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Codoki
Codoki
🚀 Codoki is an AI-powered engineering assistant that helps teams fix bugs, refactor code, and reduce tech debt—up to 50x faster. Unlike AI code assistants that just suggest snippets, Codoki integrates with your workflow, detects issues, automates fixes, and even acts as a 24/7 AI on-call engineer—reducing downtime and saving developer time. Engineering teams using Codoki ship faster, cut operational costs, and spend more time building instead of fixing. -
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JSON Formatter
JSON Formatter
JSON Formatter's JSON Editor is a user-friendly tool designed for editing, viewing, and analyzing JSON data. It offers features such as formatting, beautifying, and validating JSON, as well as converting JSON to XML, CSV, and YAML formats. Users can load JSON data via file upload or URL and share edited JSON through generated links. It ensures that data is not sent to external servers, thus enhancing security and performance. -
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MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. -
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JAX
JAX
JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs. These capabilities enable efficient computation for complex mathematical functions and large-scale machine-learning models. JAX also integrates with various libraries within its ecosystem, such as Flax for neural networks and Optax for optimization tasks. Comprehensive documentation, including tutorials and user guides, is available to assist users in leveraging JAX's full potential. -
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AlphaCodium
Qodo
AlphaCodium is a research-driven AI tool developed by Qodo to enhance coding with iterative, test-driven processes. It helps large language models improve their accuracy by enabling them to engage in logical reasoning, testing, and refining code. AlphaCodium offers an alternative to basic prompt-based approaches by guiding AI through a more structured flow paradigm, which leads to better mastery of complex code problems, particularly those involving edge cases. It improves performance on coding challenges by refining outputs based on specific tests, ensuring more reliable results. AlphaCodium is benchmarked to significantly increase the success rates of LLMs like GPT-4o, OpenAI o1, and Sonnet-3.5. It supports developers by providing advanced solutions for complex coding tasks, allowing for enhanced productivity in software development. -
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Amazon Nova Act
Amazon
Amazon Nova Act is an AI model designed to perform actions within web browsers, enabling the development of agents capable of completing tasks such as submitting out-of-office requests, scheduling calendar events, and setting up 'away from office' emails. Unlike traditional large language models that primarily generate natural language responses, Nova Act focuses on executing tasks in digital environments. The Nova Act SDK allows developers to decompose complex workflows into reliable atomic commands (e.g., search, checkout, answer questions about the screen) and incorporate detailed instructions where necessary. It also supports API calls and direct browser manipulation through Playwright to enhance reliability. Developers can integrate Python code, including tests, breakpoints, asserts, or thread pools for parallelization, to manage web page load times effectively. -
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Tenzir
Tenzir
Tenzir is a data pipeline engine specifically designed for security teams, facilitating the collection, transformation, enrichment, and routing of security data throughout its lifecycle. It enables users to seamlessly gather data from various sources, parse unstructured data into structured formats, and transform it as needed. It optimizes data volume, reduces costs, and supports mapping to standardized schemas like OCSF, ASIM, and ECS. Tenzir ensures compliance through data anonymization features and enriches data by adding context from threats, assets, and vulnerabilities. It supports real-time detection and stores data efficiently in Parquet format within object storage systems. Users can rapidly search and materialize necessary data and reactivate at-rest data back into motion. Tension is built for flexibility, allowing deployment as code and integration into existing workflows, ultimately aiming to reduce SIEM costs and provide full control. -
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NetsPresso
Nota AI
NetsPresso is a hardware-aware AI model optimization platform. NetsPresso powers on-device AI across industries, and it's the ultimate platform for hardware-aware AI model development. Lightweight models of LLaMA and Vicuna enable efficient text generation. BK-SDM is a lightweight version of Stable Diffusion models. VLMs combine visual data with natural language understanding. NetsPresso resolves Cloud and server-based AI solutions-related issues, such as limited network, excessive cost, and privacy breaches. NetsPresso is an automatic model compression platform that downsizes computer vision models to a size small enough to be deployed independently on the smaller edge and low-specification devices. Optimization of target models being key, the platform combines a variety of compression methods which enables it to downsize AI models without causing performance degradation. -
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Gemini 2.5 Flash
Google
Gemini 2.5 Flash is a powerful, low-latency AI model introduced by Google on Vertex AI, designed for high-volume applications where speed and cost-efficiency are key. It delivers optimized performance for use cases like customer service, virtual assistants, and real-time data processing. With its dynamic reasoning capabilities, Gemini 2.5 Flash automatically adjusts processing time based on query complexity, offering granular control over the balance between speed, accuracy, and cost. It is ideal for businesses needing scalable AI solutions that maintain quality and efficiency. -
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Gymnasium
Gymnasium
Gymnasium is a maintained fork of OpenAI’s Gym library, providing a standard API for reinforcement learning and a diverse collection of reference environments. The Gymnasium interface is simple, pythonic, and capable of representing general RL problems, and has a compatibility wrapper for old Gym environments. At the core of Gymnasium is the Env class, a high-level Python class representing a Markov Decision Process (MDP) from reinforcement learning theory. The class provides users the ability to generate an initial state, transition to new states given an action, and visualize the environment. Alongside Env, Wrapper classes are provided to help augment or modify the environment, particularly the agent observations, rewards, and actions taken. Gymnasium includes various built-in environments and utilities to simplify researchers’ work, along with being supported by most training libraries. -
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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. -
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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. -
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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. -
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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. -
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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. -
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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.
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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. -
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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. -
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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. -
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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. -
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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. -
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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. -
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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. -
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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. -
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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. -
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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.
