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Data Science Software
Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends.
Computer Vision Software
Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
AI Coding Assistants
AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
View more categories (5) for "python regex"
60 Products for "python regex" with 4 filters applied:
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1
pywinauto
pywinauto
pywinauto is a set of python modules to automate the Microsoft Windows GUI. At its simplest it allows you to send mouse and keyboard actions to Windows dialogs and controls. pywinauto can be installed with pip and conda. Python is a great programming language, but there are no automation tools that were Pythonic (very few libraries were implemented in Python).Starting Price: Free -
2
Logfire
Pydantic
...Developers can instrument their apps with structured data, and query-ready Python objects, and gain real-time insights through visualizations, dashboards, and alerts. Logfire also supports manual tracing, context logging, and exception capturing, providing a modern logging interface. It is tailored for developers seeking a streamlined, effective observability tool with out-of-the-box integrations and ease of use.Starting Price: $2 per month -
3
Ray
Anyscale
Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries.Starting Price: Free -
4
Pathway
Pathway
Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. -
5
PydanticAI
Pydantic
PydanticAI is a Python-based agent framework designed to simplify the development of production-grade applications using generative AI. Built by the team behind Pydantic, the framework integrates seamlessly with popular AI models such as OpenAI, Anthropic, Gemini, and others. It offers type-safe design, real-time debugging, and performance monitoring through Pydantic Logfire.Starting Price: Free -
6
CodeMind
CodeMind
...Get a summary of merge requests to help reviewers better review your code. While you are reviewing, if the code looks complex, ask for an explanation. Explain application code, infrastructure code, and complex regex. Managing code reviews can be a challenging task. Manually reviewing each line of code is time-consuming, prone to human error, and might overlook potential optimization opportunities. We're here to transform this process. Our tool expedites the review process, freeing up your valuable time for what truly matters, writing great code. ...Starting Price: $15 per month -
7
Towhee
Towhee
...Towhee provides out-of-the-box integration with your favorite libraries, tools, and frameworks, making development quick and easy. Towhee includes a pythonic method-chaining API for describing custom data processing pipelines. We also support schemas, making processing unstructured data as easy as handling tabular data.Starting Price: Free -
8
scikit-learn
scikit-learn
...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 -
9
Strands Agents
Strands Agents
Strands Agents is a lightweight, code-first framework for building AI agents, designed to simplify agent development by leveraging the reasoning capabilities of modern language models. Developers can create agents with just a few lines of Python code, defining a prompt and a list of tools, allowing the agent to autonomously execute complex tasks. It supports multiple model providers, including Amazon Bedrock (defaulting to Claude 3.7 Sonnet), Anthropic, OpenAI, and more, offering flexibility in model selection. Strands Agents features a customizable agent loop that processes user input, decides on tool usage, executes tools, and generates responses, supporting both streaming and non-streaming interactions. ...Starting Price: Free -
10
scikit-image
scikit-image
...We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. ...Starting Price: Free -
11
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. ...Starting Price: Free -
12
OpenAI Agents SDK
OpenAI
...The Agents SDK has a very small set of primitives, agents, which are LLMs equipped with instructions and tools; handoffs, which allow agents to delegate to other agents for specific tasks; and guardrails, which enable the inputs to agents to be validated. In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. In addition, the SDK comes with built-in tracing that lets you visualize and debug your agentic flows, evaluate them, and even fine-tune models for your application.Starting Price: Free -
13
JDoodle.ai
JDoodle.ai
...It supports a built-in database, free bug-fixing (with no credits required), pay-as-you-go credits, and automatic hosting for each project. Users simply describe the application they want, such as “React frontend + Python backend with database and user authentication”, and the platform generates front- and back-end code, sets up the project infrastructure, and handles testing automatically. The system uses a multi-model agent to analyze requirements, write code, run tests, and deploy apps in minutes. Projects come with a React frontend and Python backend by default, and users can connect custom APIs, integrations, or data sources as needed.Starting Price: $10 per month -
14
Sieve
Sieve
...Package models with a simple Python decorator and deploy them instantly. A full-featured observability stack so you have full visibility of what’s happening under the hood. Pay only for what you use, by the second. Gain full control over your costs.Starting Price: $20 per month -
15
ScrapeGraphAI
ScrapeGraphAI
...Additionally, ScrapeGraphAI provides an open source Python library that utilizes large language models and direct graph logic.Starting Price: $20 per month -
16
Gensim
Radim Řehůřek
Gensim is a free, open source Python library designed for unsupervised topic modeling and natural language processing, focusing on large-scale semantic modeling. It enables the training of models like Word2Vec, FastText, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), facilitating the representation of documents as semantic vectors and the discovery of semantically related documents.Starting Price: Free -
17
PromptLayer
PromptLayer
...Once logged in, click the button to create an API key and save this in a secure location. After making your first few requests, you should be able to see them in the PromptLayer dashboard! You can use PromptLayer with LangChain. LangChain is a popular Python library aimed at assisting in the development of LLM applications. It provides a lot of helpful features like chains, agents, and memory. Right now, the primary way to access PromptLayer is through our Python wrapper library that can be installed with pip.Starting Price: Free -
18
Semantic Kernel
Microsoft
...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
DataChain
iterative.ai
DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. ...Starting Price: Free -
20
TinyPNG
Tinify
...It uses smart lossy compression to compress JPEG, PNG, WebP, and AVIF files by up to 80% without visible quality loss - boosting speed, SEO, and reducing bandwidth. Compress, convert, and resize images via our intuitive web app or powerful API. SDKs are available for Python, Node.js, PHP, Java, Ruby, and .NET. Includes an official WordPress plugin and a growing ecosystem of community-built integrations. Tinify is simple and accessible with no complex settings, no guesswork. It just works. Whether you're a beginner or building for scale, you get reliable results fast. All plans start with a generous free tier, and responsive customer support is here when you need help. ...Starting Price: $0 -
21
DataMelt
jWork.ORG
...Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.Starting Price: $0 -
22
FacePlugin
FacePlugin
...SDKs we offer - Face recognition SDK (Android, iOS, Server) - Liveness detection SDK (Android, iOS, Server) - ID document recognition SDK (Android, iOS, Server) - Palmprint recognition SDK (Server) Programming languages: Python, Swift, Object C, Java, Kotlin, Flutter We provide free integration support.Starting Price: $0 -
23
PandaAI
PandaAI
...It also supports team collaboration by allowing users to save responses as data snippets and share them with colleagues. To get started, users can install the pandasai Python library, set up their API key, load their datasets, and push them to the platform for analysis.Starting Price: €20 per month -
24
NLTK
NLTK
The Natural Language Toolkit (NLTK) is a comprehensive, open source Python library designed for human language data processing. It offers user-friendly interfaces to over 50 corpora and lexical resources, such as WordNet, along with a suite of text processing libraries for tasks including classification, tokenization, stemming, tagging, parsing, and semantic reasoning. NLTK also provides wrappers for industrial-strength NLP libraries and maintains an active discussion forum.Starting Price: Free -
25
Encord
Encord
...Expert review, QA and QC workflows help you deliver higher quality datasets to your artificial intelligence teams, helping improve model performance. Connect your data and models with Encord's Python SDK and API access to create automated pipelines for continuously training ML models. Improve model accuracy by identifying errors and biases in your data, labels and models. -
26
CodePal
CodePal.ai
...AI Code Generators are very useful for learning, as they can give a good grasp of how the task at hand should be written in code. Code generation can be used with many different programming languages, including Java, C#, Python, and TypeScript, among others. The choice of programming language will often depend on the specific needs of the project, as well as the availability of code generation tools and frameworks for that language.Starting Price: $15 per month -
27
AutoRest
Microsoft
...Input to AutoRest is a spec that describes the REST API using the OpenAPI specification format and streamlines the creation of client code across multiple programming languages, including C#, Java, Python, TypeScript, and Go. This automation enhances consistency and efficiency in API consumption, reducing the manual effort required to develop and maintain client libraries. AutoRest operates through a flexible pipeline that processes OpenAPI input files, transforming them into a code model which is then utilized by language-specific generators to produce client code adhering to each language's design guidelines. ...Starting Price: Free -
28
NVIDIA TensorRT
NVIDIA
...The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.Starting Price: Free -
29
E2B
E2B
...It enables developers to integrate code interpretation capabilities into their AI applications and agents, facilitating the execution of dynamic code snippets in a controlled environment. The platform supports multiple programming languages, including Python and JavaScript, and offers SDKs for seamless integration. E2B utilizes Firecracker microVMs to ensure robust security and isolation for code execution. Developers can deploy E2B within their own infrastructure or utilize the provided cloud service. The platform is designed to be LLM-agnostic, allowing compatibility with various large language models such as OpenAI, Llama, Anthropic, and Mistral. ...Starting Price: Free -
30
LiteLLM
LiteLLM
LiteLLM is a versatile platform designed to streamline interactions with over 100 Large Language Models (LLMs) through a unified interface. It offers both a Proxy Server (LLM Gateway) and a Python SDK, enabling developers to integrate various LLMs seamlessly into their applications. The Proxy Server facilitates centralized management, allowing for load balancing, cost tracking across projects, and consistent input/output formatting compatible with OpenAI standards. This setup supports multiple providers. It ensures robust observability by generating unique call IDs for each request, aiding in precise tracking and logging across systems. ...Starting Price: Free
