Business Software for Python - Page 49

Top Software that integrates with Python as of September 2026 - Page 49

Python Clear Filters
  • 1
    Rapidminer AI Studio
    RapidMiner AI Studio is a dedicated environment for rapidly developing and prototyping AI solutions, helping teams unify the complete data science lifecycle from data exploration and machine learning to model operations and visualization. It allows data scientists and engineers to build, train, and test AI models locally, giving organizations full control and flexibility for initial exploration and development. It connects directly to enterprise data sources, including files, databases, data lakes, cloud data platforms, warehouses, SQL databases, and Internet of Things data streams, helping teams unify data, prevent errors, and power accurate, explainable AI. RapidMiner AI Studio supports both domain experts and technical teams: users without coding experience can quickly build effective machine learning models with an intuitive drag-and-drop canvas, while data scientists can create complex models in a fully integrated notebook environment using Python and R.
  • 2
    CapRover

    CapRover

    CapRover

    CapRover is a scalable, free, and self-hosted platform as a service built to make app, database, and web server management extremely easy. It is designed for Node.js, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress, and many other applications, giving developers a simple way to move from localhost to a live HTTPS domain in seconds. CapRover is blazingly fast and very robust because it uses Docker, Nginx, Let’s Encrypt, and NetData under the hood, while keeping the experience simple through a web GUI and a CLI for automation and scripting. It helps developers avoid spending hours setting up servers, build tools, SSL certificates, Nginx rules, and deployment scripts, so they can focus more on writing application code and less on server work. It supports any language, one-click apps, free SSL with automatic HTTP-to-HTTPS redirection, and several deployment methods, including uploading source from the dashboard, using the CapRover deploy command.
  • 3
    Easypanel

    Easypanel

    Easypanel

    Easypanel is a next-generation server control panel powered by Docker, built to deploy applications, manage databases, and provision SSL certificates through an intuitive interface. Unlike many other panels, Easypanel can run any application, creating Docker images for Node.js, Ruby, Python, PHP, Go, and Java apps using Heroku Buildpacks, while still allowing users to bring their own Dockerfile when they need greater control. Developers can push to GitHub and let Easypanel get the code, build it, and deploy it automatically, with support for zero-downtime deployments so updates happen seamlessly without interruptions for users. It also supports Cloud Native Buildpacks, Paketo Buildpacks, Nixpacks, and Dockerfile-based builds, giving teams several ways to turn source code into Docker images. Databases are first-class citizens in Easypanel, with support for MySQL, PostgreSQL, MongoDB, and Redis, plus web-based tools to inspect logs or connect to the database CLI.
  • 4
    Concentrate AI

    Concentrate AI

    Concentrate AI

    Concentrate AI is the LLM gateway for fast-growing teams, one API for every major LLM provider, with routing, spend, logs, and controls in one place. It helps teams securely access, use, and manage AI through a single API, so every request can find the smarter, faster, cheaper model for the workflow or task. Teams can access 130+ models, benchmark speed, quality, and cost, and route each workload to the best fit without wiring separate provider APIs into every environment. Support bots, coding agents, internal tools, chat, and batch jobs do not need the same model or the same route, so Concentrate lets teams pick a model slug, limit allowed providers, sort by live latency, use fallbacks, and reroute traffic when a provider slows down, errors, or hits a rate limit. It also gives engineering, finance, security, and leadership a shared view of AI usage with request-level logs, models, provider, duration, token counts, spend, error rates, alerts, and exports.
  • 5
    Seed Audio 1.0
    Seed Audio 1.0 is a non-streaming audio generation API based on HTTP, designed to generate complete audio from text prompts, reference audio, or reference images. It supports text-only generation, where audio is created directly from the prompt; reference-audio generation, where uploaded reference clips guide the output; and reference-image generation, where an image reference can be passed to generate audio from the text to be synthesized. Built as part of BytePlus Seed Speech, Audio 1.0 uses the seed-audio-1.0 model version and is positioned as an audio creation capability rather than a standard speech-only endpoint. It can generate voice, music, and sound effects in a single pass, making it useful for producing richer audio scenes without separately creating and mixing every track. The API is intended for developers building audio generation into applications, workflows, and production systems, with a request-based structure that lets teams submit prompts.
  • 6
    GPT-5.6 Sol Ultrafast
    GPT-5.6 Sol Ultrafast is a new OpenAI API service tier that runs GPT-5.6 Sol up to 14× faster than Standard processing, bringing frontier intelligence to products and workflows where every second matters. Powered by Cerebras, it can generate up to 750 output tokens per second, allowing advanced reasoning to operate at real-time speeds without requiring a smaller or more specialized model. It is designed for time-sensitive business workflows where faster responses can change what AI can realistically do. Applications include incident response, where models can analyze logs, code changes, traces, and engineer reports while an outage is unfolding; financial research and security, where changing market signals and suspicious transactions can be assessed quickly; and customer support and voice, where complex issues can be resolved without interrupting a live conversation. In commerce, it can answer product questions, check inventory, and personalize recommendations.
  • 7
    Qwen3.8-2.4T-A95B
    Qwen3.8-2.4T-A95B is the largest open model in the Qwen3.8 family, bringing Qwen-Max-class capabilities to an open release. Built on the architectural foundation of Qwen3.5, it delivers substantial improvements across coding, professional work, research, and long-horizon agentic tasks, with a focus on carrying complex, multi-step work through to completion more reliably. The causal language model uses a mixture-of-experts architecture with 2.4 trillion total parameters and 95 billion activated parameters, including 512 experts with 10 routed and one shared expert active at a time. It supports a native context length of 262,144 tokens that can be extended to approximately 1.01 million tokens. Agent execution is strengthened through better autonomous planning and improved handling of environment feedback, while broader compatibility with popular agent harnesses and development tools simplifies integration into existing stacks.
  • 8
    Gemini 3.8 Flash Cyber
    Gemini 3.8 Flash Cyber is Google’s most capable cybersecurity model, providing frontier-level performance in vulnerability detection and automated patching with the speed needed for quick iteration. It is designed specifically for trusted defenders and is available through the Fairwind Program. On CyberGym, a standard industry benchmark for finding vulnerabilities, the model demonstrates frontier-level autonomous vulnerability discovery and surpasses both Gemini 3.5 Flash Cyber and significantly larger frontier models. Google also evaluated it on an internal benchmark covering complex codebases across 20 programming languages, where it achieved a success rate exceeding 70% in discovering a wide range of vulnerabilities. Gemini 3.8 Flash Cyber prioritizes vulnerability fixing over offensive capabilities such as exploitation, equipping defenders with expert capabilities that can help them maintain an advantage over attackers.
  • 9
    oMLX

    oMLX

    oMLX

    oMLX is a macOS-native MLX server designed to make local AI faster and more practical on Apple Silicon. Built for the way coding agents actually work, it uses paged SSD KV caching to persist cache blocks to disk, allowing previously seen prefixes to be restored across requests and server restarts instead of being recomputed from scratch. This can reduce time to first token on long contexts from 30–90 seconds to under five seconds after the first turn. Continuous batching handles concurrent requests through mlx-lm’s BatchGenerator, improving generation throughput without forcing requests to wait behind a single job. oMLX can serve LLMs, vision-language models, embedding models, and rerankers simultaneously, using LRU eviction when memory runs low. It supports any MLX-format model from Hugging Face, including Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can reuse models already stored in the standard Hugging Face cache, LM Studio folders, or custom directories.
  • 10
    Grok 4.8

    Grok 4.8

    SpaceXAI

    Grok 4.8 is an upcoming AI model from xAI expected to advance the Grok family in reasoning, coding, agentic workflows, and professional knowledge work. Elon Musk has described the model as having approximately 2.5 trillion parameters and being trained using a new C++ software stack. The model is expected to complete its initial training before entering reinforcement learning, with final capabilities and performance still subject to change. Grok 4.8 is anticipated to build on Grok 4.7’s strengths in software development, tool calling, configurable reasoning, multimodal input, and long-running agentic tasks. xAI has not yet released official benchmarks, pricing, context-window specifications, API identifiers, or a public launch date for Grok 4.8. The model is expected to target developers, researchers, enterprises, and advanced AI users who need high-capability reasoning and autonomous task execution.
  • 11
    Open Code Review
    Open Code Review is an AI-powered code review CLI built from Alibaba’s battle-tested internal code review agent and validated across millions of real-world tasks. It reads Git diffs, sends changed files to a configurable LLM through an agent with tool-use capabilities, and generates structured review comments with precise line-level positioning. Rather than reviewing only the visible diff, the agent can read complete files, search the codebase, inspect related changes, and cross-reference context to uncover deeper issues. Its hybrid architecture separates deterministic engineering tasks such as file filtering, task splitting, rule routing, scheduling, and line positioning from LLM reasoning for risk detection, context exploration, and issue classification. A dedicated reflection module helps intercept hallucinations and knowledge drift before comments are returned. Review depth can be adjusted from low to high depending on the required balance of speed and thoroughness.
  • 12
    Qwen3.8-Omni-Flash
    Qwen3.8-Omni-Flash is a next-generation native omnimodal model designed to strengthen agent capabilities in real-world productivity scenarios, advancing from understanding multimodal content to planning tasks, calling tools, and completing creative work. Built on the Qwen3.8-Flash-Next architecture, it accepts text, image, audio, and video inputs with a context window of up to 1 million tokens while maintaining strong text performance. Beyond coding, knowledge work, and GUI interaction, it extends agentic workflows centered on audio and video, including video editing, music video creation, film production and commentary, audiovisual summarization, and real-time conversations. The model improves long-form audio and audiovisual understanding through controllable descriptions, agentic evidence gathering, meeting understanding, and video-centered deep research. Users can specify the subject, time range, level of detail, and output format for video analysis, enabling overviews, etc.
  • 13
    Checkmarx

    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.
  • 14
    gedit

    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.
  • 15
    CodePatrol

    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.
  • 16
    CodePeer

    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.
  • 17
    Jtest

    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.
  • 18
    CodeSonar

    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.
  • 19
    Codepad

    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.
  • 20
    Visplore

    Visplore

    Visplore GmbH

    Visplore is a visual analytics software solution for rapid industrial troubleshooting and root-cause analysis. When KPIs and simple trends are not enough and action is time-critical, it complements dashboards with guided forensic “why” analyses that deliver insights for problem-solving and process optimization. It works across the entire IT/OT landscape, from process and asset data to quality and material data, and is easy to use for all engineers. - Guided, transparent root-cause analysis with intuitive visuals — no black boxes, no complex modeling - Works with your data, where it lives - Seamless IT/OT connectivity - From troubleshooting to standardized best practice - Proven templates, excellent expert support, and workflows that scale into automated monitoring and reporting. Compared to other data analysis tools such as Seeq and TrendMiner, Visplore is built for everyday engineering use, making industrial data analysis accessible, repeatable, and ready for action.
  • 21
    Jedi

    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.
  • 22
    CudaText

    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).
  • 23
    Routefusion

    Routefusion

    Routefusion

    Through our global banking APIs, fintech expertise, and customer support, decrease your time to market, reduce the cost of global payments and expand your products and services internationally. Opening up international bank accounts is challenging. We'll do it for you - making direct debiting, global reconciliation, and a unified global banking experience simple. Do international business like a local. Pay international vendors and customers with ACH, SPEI, SEPA, SWIFT wires, and more. Our global payment and FX institutions network gives your customers access to rates that have traditionally only been reserved for the largest corporations. With our new approach to cross-border payments, no one gets left behind. We believe in tearing down financial barriers to growth so that every business has the opportunity to thrive.
  • 24
    Exceptionly

    Exceptionly

    Exceptionly

    We find, test, and deliver software talent for a direct hire. Exceptionly is built to revolutionize the software talent industry by leveraging its unique big data set of 2 million hands-on tested software engineers from 175 countries. Exceptionly invests in its enterprise-level talent acquisition engine and offers a platform as a service for providing both quality and volume of tested remote software engineers for businesses around the world. Exceptionly’s mission is to enable 100% of the technology talent capital for highly skilled remote talent around the world. We help businesses go beyond their zip codes for hiring the best of the best and leverage their talent budget in full.
  • 25
    Zenlytic

    Zenlytic

    Zenlytic

    Your data lives in multiple excel files, ad platforms, and SaaS apps – they never agree and it’s impossible to make sense of. Your team wastes 30+ hrs a week combing through data across multiple instances without arriving at any insights you can trust. Zenlytic is the first enterprise-grade BI tool designed for emerging commerce brands like yours. We help you understand your data so you can acquire more efficiently, improve churn, and power growth. Any BI tool can tell you churn increased by 5% last month. Only Zenlytic can tell you why. Our tech quickly identifies the friction points in your user journeys, the promotions that aren’t converting and the acquisition channels that yield low LTV/CAC scores. When you know what’s working, and what’s not, all you have to do is act. Business intelligence tools have always been built for technical users who understand SQL. Not anymore. Our powerful natural language interface empowers everybody to be data-driven.
  • 26
    AtomicJar

    AtomicJar

    AtomicJar

    Shift testing to the left and find issues earlier, when they are easier and cheaper to fix. Enable developers to do better integration testing, shorten dev cycles and increase productivity. Shorter and more-thorough integration feedback cycles, mean more reliable products. Testcontainers Cloud makes it easy for developers to run reliable integration tests, with real dependencies defined in code, from their laptops to their team’s CI. Testcontainers is an open-source framework for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container. No more need for mocks or complicated environment configurations. Define your test dependencies as code, then simply run your tests and containers will be created and then deleted.
  • 27
    Stenography

    Stenography

    Stenography

    No need to Google it. Hydrate responses with Stack Overflow Suggestions and documentation from across the web. Extensions, extensions, extensions. Wherever code can be found, Stenography integrates. Stenography uses a passthrough API and does not store code. Your code stays on your system.
  • 28
    CodeCollab

    CodeCollab

    CodeCollab

    Real-time code collaboration. CodeCollab is an online real-time collaborative code editor and compiler. Our web-based application allows users to collaborate in real-time over the internet. CodeCollab allows for seamless sharing across multiple platforms and devices. Perfect for keeping code up to date with your team.
  • 29
    gProfiler

    gProfiler

    Granulate

    gProfiler combines multiple sampling profilers to produce unified visualization of what your CPU is spending time on, displaying stack traces of your processes across native programs (includes Golang), Java and Python runtimes. gProfiler can upload its results to the Granulate Performance Studio, which aggregates the results from different instances over different periods of time and can give you a holistic view of what is happening on your entire cluster. To upload results, you will have to register and generate a token on the website.
  • 30
    CubicWeb

    CubicWeb

    CubicWeb

    Modeling your data is the first step, as it always should be because applications fade away but data is here to stay. Once your model is implemented, your CubicWeb application runs and you can incrementally add high-value functionalities for your users. Based on the application model, RQL is a compact language focused on the attributes and relationships of the data. It is similar to SPARQL but is more readable by human beings. After a RQL request has selected a graph of data, several views can be applied to display the information in the most relevant way. All CubicWeb architecture is designed along this pattern. Permissions are directly defined in the data model with limitless precision. Security checks are automatically added to any RQL request submitted to the engine. CubicWeb relies on a standard SQL database for storing and managing data. PostgreSQL is the preferred database of CubicWeb.