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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.
Code Search Engines
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.
Data Management Software
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security.
View more categories (5) for "python decompiler"
  • 1
    GlassFlow

    GlassFlow

    GlassFlow

    GlassFlow is a serverless, event-driven data pipeline platform designed for Python developers. It enables users to build real-time data pipelines without the need for complex infrastructure like Kafka or Flink. By writing Python functions, developers can define data transformations, and GlassFlow manages the underlying infrastructure, offering auto-scaling, low latency, and optimal data retention. The platform supports integration with various data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, through its Python SDK and managed connectors. ...
    Starting Price: $350 per month
  • 2
    Teradata VantageCloud
    ...Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. 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.
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  • 3
    BattleFin Ensemble
    ...Onboard to ensemble today and start the process of marketing and productizing your data on the Ensemble platform. Using our Python 3 data sandbox, you can build exploration kits to highlight key aspects of your data to buyers.
    Starting Price: $2,750 per month
  • 4
    NVIDIA RAPIDS
    ...Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.
  • 5
    Indigo DRS Data Reporting Systems

    Indigo DRS Data Reporting Systems

    Indigo Scape DRS Data Reporting Systems

    Indigo Scape DRS is an advanced Data Reporting and Document Generation System for Rapid Report Development (RRD) using HTML, XML, XSLT, XQuery and Python to generate highly compatible and content rich business reports and documents with HTML. Representing the ultimate in reporting software our advanced technology and reusable reporting system is a powerhouse in data reporting. Indigo DRS is totally unique in its ability to query in XQuery, Python and SQL and use data from multiple different sources and types simultaneously making it the only choice for demanding business, financial, scientific and engineering reporting. ...
    Starting Price: $500 per month / user
  • 6
    FrameworX

    FrameworX

    Tatsoft

    ...Designed for edge-to-enterprise use, it unifies operations, data, and AI under one scalable, .NET-based architecture. Features include real-time data modeling, historian, alarms, reports, audit trails, scripting in C#, VB.NET, JavaScript, and Python, plus 100+ native drivers for PLCs, DCS, OPC, and MQTT (broker/client/SparkplugB). Build once—deploy anywhere with zero client installs and full web, mobile, and desktop access. Includes every module from day one: Devices, Alarms, Historian, Reports, Security, and DevOps tools. Proven in 5,000+ global deployments, FrameworX powers mission-critical operations across industries with reliability, unlimited scalability, and transparent licensing. ...
    Starting Price: $750
  • 7
    Cloudera Data Science Workbench
    Accelerate machine learning from research to production with a consistent experience built for your traditional platform. With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench (CDSW) delivers a self-service experience data scientists will love. Download and experiment with the latest libraries and frameworks in customizable project environments that work just like your laptop. Cloudera Data Science Workbench provides connectivity not only to CDH and HDP but also to the systems your data science teams rely on for analysis. ...
  • 8
    Superlinked

    Superlinked

    Superlinked

    ...Discover behavioral clusters of your customers using a vector index in your data warehouse. Describe and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook.
  • 9
    Oracle Big Data Service
    ...Quickly create Hadoop-based data lakes to extend or complement customer data warehouses, and ensure that all data is both accessible and managed cost-effectively. Query, visualize and transform data so data scientists can build machine learning models using the included notebook with its R, Python and SQL support. Move customer-managed Hadoop clusters to a fully-managed cloud-based service, reducing management costs and improving resource utilization.
    Starting Price: $0.1344 per hour
  • 10
    ActiveViam

    ActiveViam

    ActiveViam

    ...Gain consolidated, in-depth insights into risk metrics across all systems for real-time front-office trading and intraday risk management. Optimize capital allocation and ensure regulatory compliance with FRTB, LCR, IFRS 9 and more. Based on our proprietary ActivePivot technology, leveraging Python and Java with a strong focus on collaboration, Atoti+ brings together the builders and consumers of analytics applications to accelerate and streamline the design and development process. Innovative data analytics that empower financial services firms to be ready for the unexpected. Integrates with existing databases, risk engines and BI tools.
  • 11
    RestApp

    RestApp

    RestApp

    ...RestApp enables Data & Ops teams to activate data in minutes with No-Code by: - Connecting with your favorite databases and business apps - Modeling your data with drag-and-drop SQL, NoSQL and Python functions and then easily creating and sharing your queries with your teammates - Syncing automatically your data with your tools. With RestApp, you are notably able by using our templates to: - Computing your main financial KPIs: churn rate, MRR, ARR, ACV, ARPU, LVT - Computing your customers’ lead scoring - Generate automatic cohort analysis
    Starting Price: Free
  • 12
    Equifax Ignite for Financial Services
    ...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.
  • 13
    Rendered.ai

    Rendered.ai

    Rendered.ai

    ...Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs​. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types​. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment​. Enable collaboration between data scientists and data engineers with a no-code configuration experience.
  • 14
    Tabular

    Tabular

    Tabular

    ...Centralize enforcement of data access (RBAC) policies. Connect any query engine or framework, including Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python. Smart compaction, clustering, and other automated data services reduce storage costs and query times by up to 50%. Unify data access at the database or table. RBAC controls are simple to manage, consistently enforced, and easy to audit. Centralize your security down to the table. Tabular is easy to use plus it features high-powered ingestion, performance, and RBAC under the hood. ...
    Starting Price: $100 per month
  • 15
    Coactive

    Coactive

    Coactive

    ...With a word or phrase, you can search your content library and refine the taxonomy of your content. Your data is constantly evolving, and Coactive is here to help. Use our API and Python SDKs to understand and monitor your data as it's coming in. Coactive is prioritizing integrity alongside sales in a way that will ultimately benefit both the company and customers. Coactive AI is an industry-leading machine learning platform that enables businesses of all sizes to analyze their unstructured image data in minutes. ...
  • 16
    esDynamic
    Maximize your security testing journey, from setting up your bench to analyzing your data processing results, esDynamic saves you valuable time and effort, empowering you to unleash the full potential of your attack workflow. Discover the flexible and comprehensive Python-based platform, perfectly suited for every phase of your security analysis. Customize your research space to meet your unique requirements by effortlessly adding new equipment, integrating tools, and modifying data. Additionally, esDynamic features an extensive collection of materials on complex topics that would typically require extensive research or a team of specialists, granting you instant access to expertise. ...
    Starting Price: Free
  • 17
    Oracle NoSQL Database
    ...The database scales elastically to meet dynamic workloads and provides distributed data storage across multiple shards, ensuring high availability and rapid failover. It includes Python, Node.js, Java, C, C#, and REST API drivers for easy application development. Additionally, it integrates with Oracle products such as IoT, Golden Gate, and Fusion Middleware. Oracle NoSQL Database Cloud Service is a fully managed service, freeing developers from backend infrastructure management. Oracle NoSQL Database Cloud Service is a fully managed database service for developers who want to focus on application development without dealing with the hassle of managing the back-end hardware and software infrastructure.
  • 18
    Keboola

    Keboola

    Keboola

    ...The whole platform is highly collaborative and solves the biggest hurdles of "IT" based solutions. Our seamless one click UI will take even the novice business users from data acquisition to building model in Python in a matter of minutes. Try us out! You will love the experience :)
    Starting Price: Freemium
  • 19
    Azure Data Science Virtual Machines
    ...Examples, templates and sample notebooks built or tested by Microsoft are provided on the VMs to enable easy onboarding to the various tools and capabilities such as Neural Networks (PYTorch, Tensorflow, etc.), Data Wrangling, R, Python, Julia, and SQL Server.
    Starting Price: $0.005
  • 20
    Oracle Machine Learning
    ...Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. ...
  • 21
    SAS Viya
    ...This facilitates collaboration across your organization because users can program in their language of choice. You can also take advantage of SAS Deep Learning with Python (DLPy), our open-source package on GitHub.
  • 22
    Chalk

    Chalk

    Chalk

    Powerful data engineering workflows, without the infrastructure headaches. Complex streaming, scheduling, and data backfill pipelines, are all defined in simple, composable Python. Make ETL a thing of the past, fetch all of your data in real-time, no matter how complex. Incorporate deep learning and LLMs into decisions alongside structured business data. Make better predictions with fresher data, don’t pay vendors to pre-fetch data you don’t use, and query data just in time for online predictions. Experiment in Jupyter, then deploy to production. ...
    Starting Price: Free
  • 23
    Zerve AI

    Zerve AI

    Zerve AI

    ...Zerve’s data science development environment gives data science and ML teams a unified space to explore, collaborate, build, and deploy data science & AI projects like never before. Zerve offers true language interoperability, meaning that as well as being able to use Python, R, SQL, or Markdown all in the same canvas, users can connect these code blocks to each other. No more long-running code blocks or containers, with Zerve enjoying unlimited parallelization at any stage of the development journey. Analysis artifacts are automatically serialized, versioned, stored, and preserved for later use, meaning easily changing a step in the data flow without needing to rerun any preceding steps. ...
  • 24
    Roseman Labs

    Roseman Labs

    Roseman Labs

    ...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 safeguarding privacy, protecting commercial sensitivity, and adhering to GDPR regulations. Generate insights from personal or commercially sensitive information, with enhanced GDPR compliance. Ensure data privacy with state-of-the-art encryption. Roseman Labs allows you to link data sets from several parties. ...
  • 25
    Megaladata

    Megaladata

    Megaladata

    ...The platform supports both self-service and enterprise-grade systems, handling big data with high performance. IT has integrations with more then 50 of the main databases' software and online datasets, other then native compatibility with Micrsoft ecosystem and Python. Available as a desktop, server, or cloud solution, Megaladata is used across industries like banking, retail, logistics, and healthcare. Free, interactive training online courses help users solve real business problems efficiently.
    Starting Price: Free, Community Edition
  • 26
    ScraperX

    ScraperX

    ScraperX

    ScraperX is an AI-powered web scraping API designed to simplify and accelerate data extraction from any website. It offers intuitive integration with support for multiple programming languages, including Node.js, Python, Java, Go, C#, Perl, PHP, and Visual Basic. It features smart data extraction that automatically identifies and captures relevant data patterns across various website structures, eliminating the need for manual configuration. Users can send API requests specifying the website and data to extract, and the platform processes and analyzes the data accordingly. ...
    Starting Price: $40 per month
  • 27
    ZeusDB

    ZeusDB

    ZeusDB

    ...The platform delivers ultra-low latency querying and real-time analytics, eliminating the need for separate databases or caching layers. Developers and data engineers can extend functionality with Rust or Python logic, deploy on-premises, hybrid, or cloud, and operate under GitOps/CI-CD patterns with observability built in. With built-in vector indexing (e.g., HNSW), metadata filtering, and powerful query semantics, ZeusDB enables similarity search, hybrid retrieval, filtering, and rapid application iteration.
  • 28
    Hopsworks

    Hopsworks

    Logical Clocks

    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‑premise, IoT networks, or from your Industry 4.0-solution. Deploy on‑premises on your own hardware or at your preferred cloud provider. ...
    Starting Price: $1 per month
  • 29
    Ascend

    Ascend

    Ascend

    ...Backed by DataAware intelligence, Ascend works continuously in the background to guarantee data integrity and optimize data workloads, reducing time spent on maintenance by up to 90%. Build, iterate on, and run data transformations easily with Ascend’s multi-language flex-code interface enabling the use of SQL, Python, Java, and, Scala interchangeably. Quickly view data lineage, data profiles, job and user logs, system health, and other critical workload metrics at a glance. Ascend delivers native connections to a growing library of common data sources with our Flex-Code data connectors.
    Starting Price: $0.98 per DFC
  • 30
    Zepl

    Zepl

    Zepl

    ...Zepl’s powerful search lets you discover and reuse models and code. Use Zepl’s enterprise collaboration platform to query data from Snowflake, Athena or Redshift and build your models in Python. Use pivoting and dynamic forms for enhanced interactions with your data using heatmap, radar, and Sankey charts. Zepl creates a new container every time you run your notebook, providing you with the same image each time you run your models. Invite team members to join a shared space and work together in real time or simply leave their comments on a notebook. ...
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