Best Artificial Intelligence Software for Python - Page 6
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Compare the Top Artificial Intelligence Software that integrates with Python as of June 2025 - Page 6
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This a list of Artificial Intelligence software that integrates with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.
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1
HyperCrawl
HyperCrawl
HyperCrawl is the first web crawler designed specifically for LLM and RAG applications and develops powerful retrieval engines. Our focus was to boost the retrieval process by eliminating the crawl time of domains. We introduced multiple advanced methods to create a novel approach to building an ML-first web crawler. Instead of waiting for each webpage to load one by one (like standing in line at the grocery store), it asks for multiple web pages at the same time (like placing multiple online orders simultaneously). This way, it doesn’t waste time waiting and can move on to other tasks. By setting a high concurrency, the crawler can handle multiple tasks simultaneously. This speeds up the process compared to handling only a few tasks at a time. HyperLLM reduces the time and resources needed to open new connections by reusing existing ones. Think of it like reusing a shopping bag instead of getting a new one every time.Starting Price: Free -
2
Codestral
Mistral AI
We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI applications for software developers. Codestral is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash. It also performs well on more specific ones like Swift and Fortran. This broad language base ensures Codestral can assist developers in various coding environments and projects.Starting Price: Free -
3
MarsCode
MarsCode
MarsCode: A highly intelligent, ready-to-use AI development tool. With its 'out-of-the-box cloud AI IDE' and 'powerful AI assistant', MarsCode comprehensively facilitates efficient learning and smooth operations for developers. Key Features include: 1. An out-of-the-box cloud AI IDE, liberating development from device and location constraints. 2. Extensions for local IDEs, bring the experience of AI intelligence to traditional development. 3. Boasting features for code completion and generation, bug fixing, code optimization and more, provides intelligent assistance across the full development process to developers. 4. Repository-level intelligent Q&A feature, allowing developers to focus more. 5. Supports different kinds of applications deployment, including websites, AI plugins, and APIs, etc.Starting Price: Free -
4
CodeQwen
Alibaba
CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.Starting Price: Free -
5
PromptGround
PromptGround
Simplify prompt edits, version control, and SDK integration in one place. No more scattered tools or waiting on deployments for changes. Explore features crafted to streamline your workflow and elevate prompt engineering. Manage your prompts and projects in a structured way, with tools designed to keep everything organized and accessible. Dynamically adapt your prompts to fit the context of your application, enhancing user experience with tailored interactions. Seamlessly incorporate prompt management into your current development environment with our user-friendly SDK, designed for minimal disruption and maximum efficiency. Leverage detailed analytics to understand prompt performance, user engagement, and areas for improvement, informed by concrete data. Invite team members to collaborate in a shared environment, where everyone can contribute, review, and refine prompts together. Control access and permissions within your team, ensuring members can work effectively.Starting Price: $4.99 per month -
6
Prompt AI Tools
Prompt AI Tools
With the rise of Artificial Intelligence, there are creative ways to use AI technology to improve and simplify the responsibilities in your life. Understanding this need Prompt AI has developed some amazing AI tools to make your life easy and more efficient. These tools are like having a smart friend who can give you valuable tips and guide you through your journey. People use them to get things done quicker and learn new stuff faster. The best part is that these AI tools have no cost, it’s free. The impact of free AI tools has brought about a significant transformation in various tasks, streamlining processes, analyzing data, and offering valuable insights. Prompt AI tools have revolutionized the way tasks are accomplished. These tools can help you produce text for your ideas, verify your grammar and spelling, and even suggest better terms for you to use. It’s similar to having a perceptive friend who is constantly on the right track.Starting Price: Free -
7
Agenta
Agenta
Collaborate on prompts, evaluate, and monitor LLM apps with confidence. Agenta is a comprehensive platform that enables teams to quickly build robust LLM apps. Create a playground connected to your code where the whole team can experiment and collaborate. Systematically compare different prompts, models, and embeddings before going to production. Share a link to gather human feedback from the rest of the team. Agenta works out of the box with all frameworks (Langchain, Lama Index, etc.) and model providers (OpenAI, Cohere, Huggingface, self-hosted models, etc.). Gain visibility into your LLM app's costs, latency, and chain of calls. You have the option to create simple LLM apps directly from the UI. However, if you would like to write customized applications, you need to write code with Python. Agenta is model agnostic and works with all model providers and frameworks. The only limitation at present is that our SDK is available only in Python.Starting Price: Free -
8
PullRequest
HackerOne
Get on-demand code reviews from vetted, expert engineers enhanced by AI. Add senior engineers to your team every time you open a pull request. Ship better, more secure code faster with AI-assisted code reviews. Whether you're a development team of 5 or 5,000, PullRequest will supercharge your existing code review process and adapt to your needs. Our reviewers will help your team catch security vulnerabilities, find hidden bugs, and fix performance issues before they reach production. All of this is done within your existing tools. Expert human reviewers enhanced by an AI analysis to pinpoint high-risk security hotspots. Intelligent static analysis combining open source tools and proprietary AI shown to reviewers for deeper insights. Save your senior staff some time. Make meaningful progress resolving issues and improving code while other members of your team are busy building.Starting Price: $129 per month -
9
IllumiDesk
IllumiDesk
Automate grading tasks and provide inline feedback for students. Collaborate effectively with your learners using discussion boards, mentions, and inline comments. real-time collaboration is coming soon. IllumiDesk's AI will help you create, maintain, and structure your content into interactive lessons. IllumiDesk's flexible integration options using the RESTful API and/or LTI v1.3 help leverage existing content and flows. Crafting remarkable courses can now be achievable in just minutes, not months. Mobilize your audiences with captivating content without devoting endless hours of work. Create a course effortlessly with AI in just a few clicks, tailoring it to your specific context, or start from scratch and build a course from the ground up. IllumiDesk's flexible integration options using the RESTful API and/or LTI v1.3 help leverage existing content and flows. IllumiDesk is the AI platform for instructors and content developers that helps teams create and monetize content.Starting Price: $240 per year -
10
Not Diamond
Not Diamond
Call the right model at the right time with the world's most powerful AI model router. Make the most of every model with relentless precision and speed. Not Diamond works out of the box with no setup, or train your own custom router with your evaluation data and benefit from model routing optimized to your use case. Select the right model in less time than it takes to stream a single token. Efficiently leverage faster and cheaper models without degrading quality. Program the best prompt for each LLM so you always call the right model with the right prompt. No more manual tweaking and experimentation. Not Diamond is not a proxy and all requests are made client-side. Enable fuzzy hashing on our API or deploy directly to your infra for maximum security. For any input, Not Diamond automatically determines which model is best suited to respond, delivering a state-of-the-art performance that beats every foundation model on every major benchmark.Starting Price: $100 per month -
11
Deepchecks
Deepchecks
Release high-quality LLM apps quickly without compromising on testing. Never be held back by the complex and subjective nature of LLM interactions. Generative AI produces subjective results. Knowing whether a generated text is good usually requires manual labor by a subject matter expert. If you’re working on an LLM app, you probably know that you can’t release it without addressing countless constraints and edge-cases. Hallucinations, incorrect answers, bias, deviation from policy, harmful content, and more need to be detected, explored, and mitigated before and after your app is live. Deepchecks’ solution enables you to automate the evaluation process, getting “estimated annotations” that you only override when you have to. Used by 1000+ companies, and integrated into 300+ open source projects, the core behind our LLM product is widely tested and robust. Validate machine learning models and data with minimal effort, in both the research and the production phases.Starting Price: $1,000 per month -
12
Mistral Large
Mistral AI
Mistral Large is Mistral AI's flagship language model, designed for advanced text generation and complex multilingual reasoning tasks, including text comprehension, transformation, and code generation. It supports English, French, Spanish, German, and Italian, offering a nuanced understanding of grammar and cultural contexts. With a 32,000-token context window, it can accurately recall information from extensive documents. The model's precise instruction-following and native function-calling capabilities facilitate application development and tech stack modernization. Mistral Large is accessible through Mistral's platform, Azure AI Studio, and Azure Machine Learning, and can be self-deployed for sensitive use cases. Benchmark evaluations indicate that Mistral Large achieves strong results, making it the world's second-ranked model generally available through an API, next to GPT-4.Starting Price: Free -
13
Qwen2
Alibaba
Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud. Qwen2 is a series of large language models developed by the Qwen team at Alibaba Cloud. It includes both base language models and instruction-tuned models, ranging from 0.5 billion to 72 billion parameters, and features both dense models and a Mixture-of-Experts model. The Qwen2 series is designed to surpass most previous open-weight models, including its predecessor Qwen1.5, and to compete with proprietary models across a broad spectrum of benchmarks in language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning.Starting Price: Free -
14
Spark NLP
John Snow Labs
Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. They allow multiple chained transformations along a machine-learning task.Starting Price: Free -
15
scikit-learn
scikit-learn
Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.Starting Price: Free -
16
Bika.ai
Bika.ai
Bika.ai is an AI automation database platform that proactively helps everyone complete work, and process reports, and data collection daily. Free up your work time, escape the hassle of tedious tasks, and truly enjoy more time living your life. In traditional AI tools, you need to actively engage in conversation with AI to get work done. Bika.ai, however, is a proactive AI agent that proactively reminds and distributes tasks. You don't need to communicate with it directly; instead, it automates tasks on a schedule to help you or your team complete various jobs. Bika.ai is an AI automation database that streamlines work with proactive AI automation. There's no need for constant chatting with AI. Bika.ai automates repetitive tasks and seamlessly executes across functions like marketing and sales, allowing you to focus on strategic work. Automatically collect, track, and manage millions of sales leads, helping you systematically follow up with potential customers.Starting Price: $9.99 per month -
17
Maps Scraper AI
Maps Scraper AI
Get local leads with the power of AI. AI-driven strategies such as generating local B2B leads from maps can be beneficial for businesses that want to target specific geographic regions. Scraping Maps data has many benefits, including lead generation, research and data science, monitoring competition, and obtaining business contact details. It can help businesses understand customer needs, research competitors, and develop new strategies. Unique ability to extract email addresses associated with listed companies, which are not typically displayed on Maps. Batch search capability to search for multiple keywords simultaneously, streamlining the process. Lightning-fast results and time savings by providing instant, accurate insights without the need to build and test a custom web scraping tool. Mimics real user behavior using Chrome, reducing the risk of being blocked by Maps. Allows data extraction from Maps without writing any code.Starting Price: $9.99 per month -
18
Semantic Kernel
Microsoft
Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions. Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel because it’s flexible, modular, and observable. Backed with security-enhancing capabilities like telemetry support, hooks, and filters you’ll feel confident you’re delivering responsible AI solutions at scale. Version 1.0+ support across C#, Python, and Java means it’s reliable, and committed to nonbreaking changes. Any existing chat-based APIs are easily expanded to support additional modalities like voice and video. Semantic Kernel was designed to be future-proof, easily connecting your code to the latest AI models evolving with the technology as it advances.Starting Price: Free -
19
Taipy
Taipy
From simple pilots to production-ready web applications in no time. No more compromise on performance, customization, and scalability. Taipy enhances performance with caching control of graphical events, optimizing rendering by selectively updating graphical components only upon interaction. Effortlessly manage massive datasets with Taipy's built-in decimator for charts, intelligently reducing the number of data points to save time and memory without losing the essence of your data's shape. Struggle with sluggish performance and excessive memory usage, as every data point demands processing. Large datasets become cumbersome, complicating the user experience and data analysis. Scenarios are made easy with Taipy Studio. A powerful VS Code extension that unlocks a convenient graphical editor. Get your methods invoked at a certain time or intervals. Enjoy a variety of predefined themes or build your own.Starting Price: $360 per month -
20
Remind
Remind
Recall your tasks and optimize your workflow. Boost your productivity by using your own artificial memory today. Remind is an advanced application designed to capture, transcribe, and index digital activity from your device, making it easy to recall important information. To get started with Remind, download the repo from our website or Github, install it on your device, and follow the setup instructions on GitHub. Effortlessly capture your digital activity and use it as memory, using advanced AI technology. Remind allows you to customize various components to suit your needs. You can modify settings such as the frequency of screenshots, the format of transcriptions, and the organization of indexed data.Starting Price: Free -
21
Metabob
Metabob
Metabob detects, explains, and fixes coding problems created by humans and AI. Metabob utilizes proprietary graph neural networks to detect problems and LLMs to explain and resolve them, combining the best of both worlds. GNN detects and classifies problematic code with contextual understanding. Problematic code along with enriched context is stored in Metabob's backend. The stored information from the backend is passed to an integrated LLM. The LLM generates a context-sensitive problem explanation and resolution. Metabob's AI is trained on millions of bug fixes performed by experienced developers. The ability to understand code logic and context, enables Metabob to detect complex problems that span across codebases and automatically generate fixes for them. Metabob's AI code review detects hundreds of logical problems, varying from race conditions to unhandled edge cases. Such problems cannot be detected with traditional static analysis tools.Starting Price: $20 per month -
22
Llama 3.2
Meta
The open-source AI model you can fine-tune, distill and deploy anywhere is now available in more versions. Choose from 1B, 3B, 11B or 90B, or continue building with Llama 3.1. Llama 3.2 is a collection of large language models (LLMs) pretrained and fine-tuned in 1B and 3B sizes that are multilingual text only, and 11B and 90B sizes that take both text and image inputs and output text. Develop highly performative and efficient applications from our latest release. Use our 1B or 3B models for on device applications such as summarizing a discussion from your phone or calling on-device tools like calendar. Use our 11B or 90B models for image use cases such as transforming an existing image into something new or getting more information from an image of your surroundings.Starting Price: Free -
23
Base64.ai
Base64.ai
Base64.ai is the leading no-code AI solution that understands documents, photos, and videos. One solution for all documents, including IDs, passports, invoices, checks, forms, and more. 400+ no-code integration to third-party systems for under 1 hour of integration time. Add new document types, integrations, and business rules. Command the AI for your needs. For most document types, OCR, data extraction, and integration take under 3 seconds. 99% extraction accuracy for most document types. Base64.ai improves with every document. Use Base64.ai via API, RPA systems, scanners, web, mobile apps, and others in our partner network. Our document reviewer team instantly verifies your results 24/7 for 100% data extraction accuracy. Detect and remove sensitive information such as names, dates, and document numbers. Base64.ai is a proud partner of the leading organizations in the automation world.Starting Price: $3,000 per year -
24
LLMWare.ai
LLMWare.ai
Our open source research efforts are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as building high-quality, automation-focused enterprise models available in Hugging Face. LLMWare also provides a coherent, high-quality, integrated, and organized framework for development in an open system that provides the foundation for building LLM-applications for AI Agent workflows, Retrieval Augmented Generation (RAG), and other use cases, which include many of the core objects for developers to get started instantly. Our LLM framework is built from the ground up to handle the complex needs of data-sensitive enterprise use cases. Use our pre-built specialized LLMs for your industry or we can customize and fine-tune an LLM for specific use cases and domains. From a robust, integrated AI framework to specialized models and implementation, we provide an end-to-end solution.Starting Price: Free -
25
Monica Code
Monica
One-stop AI Coding Assistant for favorite code editor. Supports GPT-4o and Claude 3.5 Sonnet. Realtime code suggestion based on cursor location and comments while you coding. Select any code and update them with a simple prompt. Easily modify a function or rewrite the whole class. Chat with active file or whole indexed codebase using best models like Claude 3.5 Sonnet or GPT-4o, or send a screenshot to help debugging. Simply ask Monica Code to create or modify multiple files, and navigate through different composed versions. By describing your requirements in natural language, Monica Code can assist in generating appropriate code snippets or structure in your chosen language. This AI-assisted capability applies to various programming tasks, from simple scripts to more complex application structures.Starting Price: $16.60 per month -
26
Restack
Restack
A framework built specifically for the challenges of autonomous intelligence. Continue to write software using your language practices, libraries, APIs, data and models. Your proprietary autonomous product that adapts and scales with your development. Autonomous AI can automate video creation by generating, editing, and optimizing content, significantly reducing manual tasks in the production process. By integrating with AI tools like Luma AI or OpenAI for video generation, and scaling text-to-speech on Azure, your autonomous system can produce high-quality video content By integrating with platforms like YouTube your autonomous AI can continuously improve based on feedback and engagement metrics. We believe the most promising path to AGI is in the orchestration of millions of autonomous systems. We are a small group of passionate engineers and researchers dedicated to building autonomous artificial intelligence. If this sounds interesting to you, we would love to hear from you.Starting Price: $10 per month -
27
TruLens
TruLens
TruLens is an open-source Python library designed to systematically evaluate and track Large Language Model (LLM) applications. It provides fine-grained instrumentation, feedback functions, and a user interface to compare and iterate on app versions, facilitating rapid development and improvement of LLM-based applications. Programmatic tools that assess the quality of inputs, outputs, and intermediate results from LLM applications, enabling scalable evaluation. Fine-grained, stack-agnostic instrumentation and comprehensive evaluations help identify failure modes and systematically iterate to improve applications. An easy-to-use interface that allows developers to compare different versions of their applications, facilitating informed decision-making and optimization. TruLens supports various use cases, including question-answering, summarization, retrieval-augmented generation, and agent-based applications.Starting Price: Free -
28
Arize Phoenix
Arize AI
Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.Starting Price: Free -
29
Traceloop
Traceloop
Traceloop is a comprehensive observability platform designed to monitor, debug, and test the quality of outputs from Large Language Models (LLMs). It offers real-time alerts for unexpected output quality changes, execution tracing for every request, and the ability to gradually roll out changes to models and prompts. Developers can debug and re-run issues from production directly in their Integrated Development Environment (IDE). Traceloop integrates seamlessly with the OpenLLMetry SDK, supporting multiple programming languages including Python, JavaScript/TypeScript, Go, and Ruby. The platform provides a range of semantic, syntactic, safety, and structural metrics to assess LLM outputs, such as QA relevancy, faithfulness, text quality, grammar correctness, redundancy detection, focus assessment, text length, word count, PII detection, secret detection, toxicity detection, regex validation, SQL validation, JSON schema validation, and code validation.Starting Price: $59 per month -
30
Keepsake
Replicate
Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves code and weights to Amazon S3 or Google Cloud Storage. This facilitates the retrieval of code and weights from any checkpoint, aiding in re-training or model deployment. Keepsake supports various machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, by saving files and dictionaries in a straightforward manner. It also offers features such as experiment comparison, enabling users to analyze differences in parameters, metrics, and dependencies across experiments.Starting Price: Free