Products

Cortance is a place where Core meets Importance in tech talent matching. We excel at matching exceptional technical talent with businesses and startups based on their unique needs, vision, and culture. Our mission is to help businesses, especially startups, launch, scale, and grow with world-class development talent. Whether you need JavaScript, Python, Laravel, or other technical expertise, we deliver perfect matches that drive success. We're transforming how companies build their engineering t

It is closer to Apache Lucene than to Elasticsearch or Apache Solr in the sense it is not an off-the-shelf search engine server, but rather a crate that can be used to build such a search engine. Companies like Element, Humanfirst, and Nuclia have used Tantivy to unleash the horse-powers in their search queries. There are many ways to use Tantivy. Tantivy can be run in the browser with a WASM file. For Ruby-lovers, Tantiny offers close Ruby bindings for Tantivy . Lastly, you can install

The Caffe Python 2.7 CPU Production AMI is a pre-configured and fully integrated software stack designed for deep learning applications. It features Caffe, an open-source deep learning framework developed by UC Berkeley, optimized for image classification and segmentation tasks. This AMI is tailored for CPU-based environments, providing a stable and high-performance execution platform for both training and inference tasks. Key Features and Functionality: - Pre-Configured Environment: The AMI c

Scale native Python/Pandas data science workloads to clusters automatically with extreme supercomputing performance. Bodo is the first automatic parallelization and optimization technology that accelerates and scales data science workloads without any code rewrites.

The Python Connector for Google BigQuery is a robust and efficient solution designed to facilitate seamless interaction between Python applications and the Google BigQuery data warehouse. Fully implementing the Python DB API 2.0 specification, this connector enables developers to perform create, read, update, and delete operations on BigQuery data with ease. Distributed as a wheel package, it supports both 32-bit and 64-bit versions of Windows and Windows Server, ensuring broad compatibility acr

DataClarity Unlimited Analytics is the only free modern embeddable data and analytics platform in the world that provides a self-service, powerful, secure and seamless end-to-end experience. DataClarity Unlimited Analytics Highlights · Simplified Data Integration – Easily connect, join, curate, cache, and catalog diverse data through drag and drop experience, custom SQL builder, and AI-powered data profiling. · Interactive Storyboards – Craft compelling storyboards using 80 stunning visualizatio

Zope is a Python-based framework for building secure web applications.

CubicWeb is a semantic web application framework, licensed under the LGPL, that empowers developers to efficiently build web applications by reusing components (called cubes) and following the well known object-oriented design principles.

Eventual is a data platform that empowers data scientists and engineers to build resilient data applications across various domains, including ETL, analytics, and machine learning. Its flagship product, Daft, is an open-source distributed data engine capable of running on an extensive scale, utilizing over 800,000 CPU cores daily. Eventual addresses the evolving needs of modern data workloads by bridging traditional data analytics with advanced ML/AI capabilities, allowing seamless execution of

GraphLab Create is a Python library, backed by a C++ engine, for quickly building large-scale, high-performance data products.

Indext Data Lab is a Belgrade-based AI engineering firm specializing in Generative AI, Computer Vision, and Intelligent Automation for global organizations. We build scalable data infrastructure, complex RAG pipelines, and autonomous Python/n8n agents, enabling founders to launch MVPs or POCs in 60 days

Optimize the runtime of open source technologies, including Apache Spark, Anaconda and Python, and gain insights from data at its source.

The "Python 2 with CentOS 7.8" Amazon Machine Image (AMI) offers a pre-configured environment combining CentOS 7.8 with Python 2.7.18. This setup is tailored for developers and organizations needing to maintain legacy Python 2 applications on a stable and widely-used Linux distribution. Key Features and Functionality: - CentOS 7.8 Base: Provides a reliable and secure operating system foundation, ensuring compatibility with a vast array of enterprise applications. - Python 2.7.18 Pre-installed

The "Caffe Python 2.7 NVidia GPU Production" is a pre-configured Amazon Machine Image (AMI) designed to facilitate the development and deployment of deep learning applications using the Caffe framework. This AMI integrates Python 2.7 and is optimized for NVIDIA GPU acceleration, providing a robust environment for training and deploying convolutional neural networks (CNNs and other deep learning models. Key Features and Functionality: - Pre-Installed Caffe Framework: Offers a ready-to-use setup

The "MXNet 1 Python 2.7 CPU Production" is an Amazon Machine Image designed to facilitate the development and deployment of deep learning models using Apache MXNet on Amazon EC2 instances. This AMI is pre-configured with MXNet version 1.x and Python 2.7, optimized for CPU-based computations, providing a ready-to-use environment for machine learning practitioners. Key Features and Functionality: - Pre-Installed MXNet Framework: The AMI comes with Apache MXNet 1.x, an open-source deep learning f

The "Caffe Python 3.6 CPU Production on Ubuntu" is an Amazon Machine Image (AMI) designed to provide a ready-to-use environment for deploying and running deep learning applications using the Caffe framework on Ubuntu. This AMI is tailored for CPU-based computations, making it suitable for users who prefer or require CPU processing over GPU acceleration. Key Features and Functionality: - Preconfigured Environment: The AMI comes with Caffe and Python 3.6 fully installed and configured, allowing

The MXNet 1 Python 3.6 CPU Production environment is a pre-configured software stack that integrates Apache MXNet, an open-source deep learning framework, with Python 3.6. This setup offers a stable and tested execution environment optimized for CPU-based tasks, facilitating efficient training, inference, and deployment of deep learning models. It is designed to seamlessly integrate into continuous integration and deployment workflows, making it suitable for both short and long-running high-perf

The MySQL and MariaDB Python Connector by Devart is a robust and user-friendly solution designed to facilitate seamless interaction between Python applications and MySQL or MariaDB database servers. Fully implementing the Python DB API 2.0 specification, this connector enables developers to perform create, read, update, and delete operations efficiently. Distributed as a wheel package, it supports multiple platforms, including Windows, macOS, and Linux. Key Features and Functionality: - Direct

The "Python 2 with Ubuntu 20.04 LTS" offering provides a pre-configured Amazon Machine Image (AMI) that combines Python 2.7 with Ubuntu 20.04 LTS. This setup is tailored for developers and organizations that require Python 2.7 for legacy applications while benefiting from the stability and security features of Ubuntu 20.04 LTS. By deploying this AMI on AWS, users can efficiently run and maintain their Python 2-based applications in a cloud environment. Key Features and Functionality: - Pre-Con

The "Python 2 with CentOS 8.2" offering provides a pre-configured Amazon Machine Image (AMI) that combines CentOS 8.2, a robust and secure Linux distribution, with Python 2.7, a widely-used programming language. This AMI is designed to facilitate the deployment of applications that depend on Python 2.7, ensuring compatibility and stability for legacy systems. Key Features and Functionality: - Pre-Installed Python 2.7: The AMI comes with Python 2.7 pre-installed, allowing immediate development