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Sample Management Software
Sample management software is a comprehensive system designed to streamline the process of managing laboratory samples. It can help to organize and store sample information, making it easier for laboratory staff to track the progress of different samples.
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.
Lab Inventory Management Software
Lab inventory management software is used by labs and life sciences institutions to manage lab inventory. Lab inventory management software streamlines all aspects of managing lab inventory including inventory monitoring, forecasting, reordering, tracking, and more.
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.
Database Software
Database software and database management systems are a type of software designed to store, manage and retrieve data. It is used to organize all kinds of information in an efficient manner, allowing users to quickly access the data they need. Many databases are tailored for specific purposes and applications, ranging from transaction processing systems to large-scale analytics platforms. Database software may be used on its own or connected with other software services for complex operations.
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 (8) for "python sample"

23 Products for "python sample" with 1 filter applied:

  • 1
    MatDeck

    MatDeck

    LabDeck

    MatDeck is a universal, technical software for Mathematics, Science, Engineering, Chemistry, Coding, Databases and many other uses. Our software offers a complete Python IDE; thousands of mathematical functions; a drag and drop GUI Designer and various visualization tools, all embedded within a cutting-edge, live document for an inexpensive and professional computing environment.
    Starting Price: Free
  • 2
    Xata

    Xata

    Xata

    ...The simple global RESTful API for inserting, querying, aggregating, and searching makes Xata the perfect companion for Serverless and No-Code/Low-Code development platforms. Xata allows you to iteratively build your database schema as you add sample data, all via a spreadsheet-like UI. You can add new tables, columns, data, and create queries and views. It then gives you code samples ready to be used in your application. This gives you flexibility as you develop and, as the application grows, the strict schema keeps your data safe and correct.
    1.0 out of 5 stars 1 Rating for Xata
    Starting Price: $8 per unit per month
  • 3
    RRDtool

    RRDtool

    RRDtool

    RRDtool is the OpenSource industry standard, high performance data logging and graphing system for time series data. RRDtool can be easily integrated in shell scripts, perl, python, ruby, lua or tcl applications.
  • 4
    Instance Resolve
    Descriptive analytics (Prepares and analyzes historical data while identifying patterns from samples for reporting of trends). Predictive analytics (Finds relationships in data that may not be readily apparent with descriptive analysis). Reduces timeline to deliver critical information for security and compliance audits​. Automate Database Health Check that measure performance over time with drill-down capacities to find the root cause of the problem.
  • 5
    SQLAlchemy

    SQLAlchemy

    SQLAlchemy

    SQLAlchemy is the Python SQL toolkit and object-relational mapper that gives application developers the full power and flexibility of SQL. SQL databases behave less like object collections the more size and performance start to matter; object collections behave less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accommodate both of these principles.
  • 6
    Yandex Managed Service for YDB
    ...Storage scaling, query execution, and backup layers are fully automated. The compatibility of the service API in serverless mode allows you to use the AWS SDKs for Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is hosted in three availability zones, ensuring availability even if a node or availability zone goes offline. If equipment or a data center fails, the system automatically recovers and continues working. YDB is tailored to meet high-performance requirements and can process hundreds of thousands of transactions per second with low latency. ...
  • 7
    AutosyncDB

    AutosyncDB

    DreamTeam

    AutosyncDB is a comprehensive solution for comparing and synchronizing SQL Server database schemas along with predefined data. The idea is to automate the database update for each new version of an application using its new database as a source of sample schema and predefined application data. In a few clicks AutosyncDB allows you to reveal the differences between database objects, analyze them, build your own customized synchronization script and deploy it. In addition, using the integration support you can run such a task for multiple databases on your servers, or export it as a package to provide client-side updates.
  • 8
    ThinkSQL

    ThinkSQL

    ThinkSQL

    ...The server also has stored procedures and functions (using the standard syntax), and has support for large multimedia objects. It's easy to install, runs on Windows ® and Linux ®, and has native ODBC, JDBC™, dbExpress™ and Python drivers so your applications can connect directly from any platform.
  • 9
    MAISY Database

    MAISY Database

    Jackson Associates

    ...MAISY Commercial and residential hourly load profile databases have been developed from dozens of data sources including utility, association, government and Jackson Associates proprietary utility customer surveys and detailed appliance engineering analysis. Databases reflect a statistically valid sample of residential and commercial utility customers throughout the US.
  • 10
    Altinity
    ...A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana, Superset, Tabix, Graphite; Databases: MySQL, PostgreSQL; BI tools: Tableau and many more. Altinity.Cloud incorporates lessons from helping hundreds of customers operate ClickHouse-based analytics. Altinity.Cloud has a Kubernetes-based architecture that delivers portability and user choice of where to operate. ...
  • 11
    SQL Workload Analysis

    SQL Workload Analysis

    IDERA, an Idera, Inc. company

    ...With the SQL Workload Analysis add-on, continuously monitor and analyze server workload, leverage the simple user interface that focuses on wait states and application performance, and troubleshoot problematic SQL code from changes made to database applications. Perform real-time analysis with continuous SQL sampling intervals. Know instantly where databases are spending time. Quickly isolate slow SQL statements and drill down for actionable advice. Investigate historical query plan trends. Utilize automatic recommendations to improve query performance.
    Starting Price: $400 per instance
  • 12
    bit.io

    bit.io

    bit.io

    ...With bit.io, your data is secure in motion (with TLS/SSL) and at rest (encrypted on the disk). Revoke access with the click of a button rather than an arcane SQL statement. Check out our sample repo! feel free to play around and create your own repo using our data.
  • 13
    T-SQL Source Code Unscrambler
    ...If you want to run our demo without connecting to your server, click the demo icon at the bottom of right corner and you can view the documentation generated using the Microsoft AdventureWorks sample database. This screen shows an icon to purchase a serial key to unlock the trial version. Users can purchase a serial key from GenesisOne™ website and enter that key in serial key field. Once the serial key is validated it shows that you have successfully activated your account and redirects you to the tool home page.
  • 14
    IDERA Precise for Databases

    IDERA Precise for Databases

    IDERA, an Idera, Inc. company

    ...Monitor Microsoft SQL Server, Oracle Database, IBM Db2, and SAP Sybase ASE. For each of these database platforms, the interface of Precise looks and behaves the same to minimize the learning curve. Precise for Databases samples the monitored databases once per second or more frequently, has low overhead (typically 1%).
  • 15
    MonetDB

    MonetDB

    MonetDB

    ...When you're curious about what's in your data; when you want to work efficiently; when your deadline is closing: MonetDB returns query result in mere seconds or even less. When you want to (re)use your own code; when you need specialised functions: use the hooks to add your own user-defined functions in SQL, Python, R or C/C++. Join us and expand the MonetDB community spread over 130+ countries with students, teachers, researchers, start-ups, small businesses and multinational enterprises. Join the leading Database in Analytical Jobs and surf the innovation! Don’t lose time with complex installation, use MonetDB’s easy setup to get your DBMS up and running quickly.
  • 16
    Apache Ignite

    Apache Ignite

    Apache Ignite

    Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. ...
  • 17
    ZizkaDB

    ZizkaDB

    Zizka AI SL

    ...The platform helps teams understand why an agent behaved a certain way by capturing decisions, causal lineage, session replay, and behavioral drift. ZizkaDB gives developers tools to replay agent sessions end to end, compare behavior against a baseline, and detect regressions before users notice. It supports Python SDK, TypeScript SDK, Cursor MCP, native tools, REST API, open source self-hosting, and managed cloud deployment. Teams can use ZizkaDB to investigate prompt changes, skipped tool policies, inconsistent answers, and costly retry loops. Built for AI engineering teams, ZizkaDB helps debug production agents faster and improve agent reliability with clearer operational visibility.
    5.0 out of 5 stars 1 Rating for ZizkaDB
    Starting Price: Free
  • 18
    GeoSpock

    GeoSpock

    GeoSpock

    ...Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js.
  • 19
    InterSystems Caché
    ...InterSystems Caché provides several APIs to operate with same data simultaneously: key-value, relational, object, document, multi-dimensional. Data can be managed via SQL, Java, node.js, .NET, C++, Python. Caché also provides an application server which hosts web apps (CSP), REST, SOAP, web sockets and other types of TCP access for Caché data.
  • 20
    InterSystems IRIS

    InterSystems IRIS

    InterSystems

    ...InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS includes
  • 21
    Objectivity/DB

    Objectivity/DB

    Objectivity, Inc.

    ...Data can be hosted on a single machine or distributed across up to 65,000 machines. Connected items can span machines. Objectivity/DB runs on 32 or 64-bit processors running Windows, Linux, and Mac OS X. APIs include: C++, C#, Java and Python. All platform and language combinations are interoperable. For example, objects stored by a program using C++ on Linux can be read by a C# program on Windows and a Java program on Mac OS X.
    5.0 out of 5 stars 1 Rating for Objectivity/DB
    Starting Price: See Pricing Details...
  • 22
    Redis

    Redis

    Redis Labs

    ...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.
    5.0 out of 5 stars 1 Rating for Redis
    Starting Price: Free
  • 23
    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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