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 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 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.
Code search engines are specialized search tools that allow developers to search through codebases, repositories, or libraries to find specific functions, variables, classes, or code snippets. These tools are designed to help developers quickly locate relevant parts of code, analyze code quality, and identify reusable components. Code search engines often support various programming languages, providing search capabilities like syntax highlighting, filtering by file types or attributes, and even advanced search options using regular expressions. They are particularly useful for navigating large codebases, enhancing code reuse, and improving overall productivity in software development projects.
.... It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems.
... recognize ID documents from 180+ countries and it can recognize all kinds of ID documents including ID card, Passport and Driver License.
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.
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. Scale existing workloads (for eg. Pytorch...
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. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing...
Modern CI/CD, open-source, on-premise system that is highly scalable and focused on testing.
Features:
- flexible workflow planning using Starlark/Python
- distributed building and testing
- various executors: bare metal, Docker, LXD
- highly scalable to thousands of executors
- sophisticated test results analysis
- integrated with AWS EC2 and ECS, Azure VM, with autoscaling
- supported webhooks from GitHub, GitLab and Gitea
- email and Slack notifications
Codeflash is an AI-powered tool that automatically identifies and applies performance optimizations to Python code, discovering improvements across entire projects or within GitHub pull requests, enabling faster execution without sacrificing feature development. With simple installation and initialization, it has delivered dramatic speedups. Trusted by engineering teams at organizations, Codeflash has helped achieve outcomes such as 25% faster object detection (boosting Roboflow's throughput...
The Industry Standard Universal Binary Repository Manager.
Supports all major package types (over 27 and growing) such as Maven, npm, Python, NuGet, Gradle, Go, and Helm including Kubernetes and Docker as well as integration with leading CI servers and DevOps tools that you already use.
Additional functionalities include:
- High Availability that scales to infinity with active/active clustering of your DevOps environment and scales as business grows
- On-Prem, Cloud, Hybrid, or Multi...
Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to running production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster. Hopsworks can ingest data from the datasources you use. Whether they are in the cloud, on...
..., for optimal predictive accuracy – especially on datasets with multicollinearity and complex interrelationships. Create industry-standard continuous and binary target models at the click of a button. Use decision tree modeling with CART and CHAID trees. Choose from logistic regression, elastic net models, survival analysis (Cox PH), random forests, XGBoost, stochastic gradient descent and more.
Export options for implementation in other scoring and decisioning software include SAS, SQL, PMML and Python.
Text analytics and NLP software libraries for on-premise deployment or integration. Integrate Salience into your enterprise business intelligence architecture or white label it inside your own data analytics product. Salience can process 200 tweets per second while scaling from single process cores to entire data centers with a small memory footprint. Use Java, Python, .NET/C# bindings for higher level ease or the native C/C++ interface for maximum speed. Enjoy full access to the underlying...
... own charts. | REAL-TIME ANALYSIS – Perform advanced analysis & data exploration using drill-down, drill-through, filters, built-in statistical & predictive models, or your own Python and R code. | SEAMLESS APPLICATION INTEGRATION – Achieve smooth integration with versatile APIs, tailor-made configurations & flexible embedding features. | SECURITY & GOVERNANCE – Ensure adherence to your security guidelines, governance standards, multitenancy, row-level data protection, and Single Sign-On (SSO).
... for more predictive analytics within your specific industry. Create powerful analyses, understand trends within financial services, and discover how well you are performing in certain areas relative to your peer groups. Explore many of our powerful data assets by using industry standard tools such as Python® and BigQuery. Then leverage even more automation power with Attribute Engine and Advanced Model Engine from Equifax.
Codebasics is an edtech company that provides comprehensive virtual training courses in data analytics, business intelligence, and computer programming. Its self-paced courses cover topics including Excel, Power BI, SQL, Python, and more, with both fundamental and advanced levels. Over 5,000 learners have completed Codebasics' real-world curriculum and gone on to launch careers, with alumni taking on roles at major companies like Microsoft, Netflix, Amazon and Google.
Codebasics aims...
Roseman Labs enables you to encrypt, link, and analyze multiple data sets while safeguarding the privacy and commercial sensitivity of the actual data. This allows you to combine data sets from several parties, analyze them, and get the insights you need to optimize your processes. Tap into the unused potential of your data. With Roseman Labs, you have the power of cryptography at your fingertips through the simplicity of Python. Encrypting sensitive data allows you to analyze it while...
...-making. It also integrates machine learning models to predict, cluster, detect patterns, and score structured data, enhancing AI capabilities on time-series datasets. With supreme scalability, kdb Insights handles extensive real-time and historical data, proven at volumes of up to 110 terabytes per day. Its quick setup and simple data intake accelerate time-to-value, while native support for q, SQL, and Python, along with compatibility with other languages via RESTful APIs.
... a render farm in minutes, run more projects in parallel, and improve cost control. Generate a hybrid or cloud-based render farm and scale to thousands of cores in minutes with the AWS Portal. Build, tailor, and deploy render farms with the Render Farm Deployment Kit (RFDK) using familiar programming languages, such as Python. Use the Jigsaw tool to render very high-resolution images faster by distributing them across multiple machines.
Oracle Cloud Infrastructure (OCI) Functions is a serverless computing service that enables developers to create, run, and scale applications without managing infrastructure. Built on the open source Fn Project, it supports multiple programming languages, including Python, Go, Java, Node.js, and C#, allowing for flexible function development. Developers can deploy code directly, with OCI handling automatic provisioning and scaling of resources. It offers provisioned concurrency to maintain low...
MindSpore is an open source deep learning framework developed by Huawei, designed to facilitate easy development, efficient execution, and deployment across cloud, edge, and device environments. It supports multiple programming paradigms, including both object-oriented and functional programming, allowing users to define AI networks using native Python syntax. MindSpore offers a unified programming experience that seamlessly integrates dynamic and static graphs, enhancing compatibility...
gpt-oss-20b is a 20-billion-parameter, text-only reasoning model released under the Apache 2.0 license and governed by OpenAI’s gpt-oss usage policy, built to enable seamless integration into custom AI workflows via the Responses API without reliance on proprietary infrastructure. Trained for robust instruction following, it supports adjustable reasoning effort, full chain-of-thought outputs, and native tool use (including web search and Python execution), producing structured, explainable...
gpt-oss-120b is a reasoning model engineered for deep, transparent thinking, delivering full chain-of-thought explanations, adjustable reasoning depth, and structured outputs, while natively invoking tools like web search and Python execution via the API. Built to slot seamlessly into self-hosted or edge deployments, it eliminates dependence on proprietary infrastructure. Although it includes default safety guardrails, its open-weight architecture allows fine-tuning that could override built...
... the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis.
Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set.
Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.