Best Engineering Software for Docker
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Compare the Top Engineering Software that integrates with Docker as of June 2025
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This a list of Engineering software that integrates with Docker. Use the filters on the left to add additional filters for products that have integrations with Docker. View the products that work with Docker in the table below.
What is Engineering Software for Docker?
Engineering software is software used by engineers to design, analyze and manufacture various products. It includes a wide range of applications such as CAD/CAE software, analysis tools, optimization tools, and programming tools. Engineering software can be used for a variety of tasks such as designing mechanical parts, analyzing structural stability, simulating system performance, and optimizing product designs. These applications enable engineers to optimize their designs for cost reduction and increased efficiency. Compare and read user reviews of the best Engineering software for Docker currently available using the table below. This list is updated regularly.
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1
IOhub
EZ VPN
Build Industry 4.0 applications with a simple and intuitive interface powered by Docker. In just minutes, through preconfigured applications, IOhubTM allows you to connect to your PLC and build customized dashboards, export data to the cloud or on-premise, write data from the ERP and the PLC, set notifications, and much more. You also have the freedom to deploy your own software and application packaged in a Docker container. Coding is time-consuming and a great source of possible mistakes and consequent fixes. This is why we have created IOhubTM, an open platform that doesn’t require you to write a single line of code. Just build your application from preconfigured Docker container blocks that we have built for you. You have endless possibilities on how to manage your data. IOhubTM IIoT service comes preconfigured with selected EZ VPNTM hardware with no need to pay an additional monthly or yearly license. All IOhubTM services are available to you for the life of the device.Starting Price: $395 -
2
Genome Analysis Toolkit (GATK)
Broad Institute
Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size. The GATK is the industry standard for identifying SNPs and indels in germline DNA and RNAseq data. Its scope is now expanding to include somatic short variant calling and to tackle copy number (CNV) and structural variation (SV). In addition to the variant callers themselves, the GATK also includes many utilities to perform related tasks such as processing and quality control of high-throughput sequencing data and bundles the popular Picard toolkit. These tools were primarily designed to process exomes and whole genomes generated with Illumina sequencing technology, but they can be adapted to handle a variety of other technologies and experimental designs.Starting Price: Free -
3
Bioconductor
Bioconductor
The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and collaborative community of developers and data scientists. Resources to maximize the potential of Bioconductor. From basic functionalities to advanced features, our tutorials, guides, and documentation have you covered. Bioconductor uses the R statistical programming language and is open source and open development. It has two releases each year and an active user community. Bioconductor provides Docker images for every release and provides support for Bioconductor use in AnVIL. Founded in 2001, Bioconductor is an open-source software project widely used in bioinformatics and biomedical research. It hosts over 2,000 R packages contributed by over 1,000 developers, with over 40 million downloads per year. Bioconductor has been cited in more than 60,000 scientific publications.Starting Price: Free -
4
GRASS GIS
GRASS
GRASS GIS (Geographic Resources Analysis Support System) is a free and open-source Geographic Information System (GIS) software suite utilized for geospatial data management and analysis, image processing, graphics and map production, spatial modeling, and visualization. It supports raster, vector, and geospatial processing, enabling advanced modeling, data management, imagery processing, and time series analysis with a Python API, optimized for large-scale analysis. GRASS GIS is compatible with multiple operating systems, including OS X, Windows, and Linux, and can be accessed through a graphical user interface or integrated with other software such as QGIS. The software includes over 350 modules for rendering maps and images, manipulating raster and vector data, processing multispectral image data, and creating, managing, and storing spatial data. GRASS GIS is widely used in academic and commercial settings, as well as by governmental agencies.Starting Price: Free -
5
Robot Operating System (ROS)
Robot Operating System (ROS)
The Robot Operating System (ROS) is an open source set of software libraries and tools designed to aid in building robot applications. It provides services expected from an operating system, including hardware abstraction, low-level device control, implementation of commonly-used functionality, message-passing between processes, and package management. ROS offers tools and libraries for obtaining, building, writing, and running code across multiple computers. At its core, ROS provides a message-passing system, often called "middleware" or "plumbing," which manages communication between distributed nodes via an anonymous publish/subscribe pattern. This system is crucial for implementing new robot applications or any software system that interacts with hardware. ROS is a meta-operating system for robots, offering hardware abstraction, device drivers, libraries, visualizers, message-passing, package management, and more. It is licensed under an open source, BSD license.Starting Price: Free -
6
Illumina Connected Analytics
Illumina
Store, archive, manage, and collaborate on multi-omic datasets. Illumina Connected Analytics is a secure genomic data platform to operationalize informatics and drive scientific insights. Easily import, build, and edit workflows with tools like CWL and Nextflow. Leverage DRAGEN bioinformatics pipelines. Organize data in a secure workspace and share it globally in a compliant manner. Keep your data in your cloud environment while using our platform. Visualize and interpret your data with a flexible analysis environment, including JupyterLab Notebooks. Aggregate, query, and analyze sample and population data in a scalable data warehouse. Scale analysis operations by building, validating, automating, and deploying informatics pipelines. Reduce the time required to analyze genomic data, when swift results can be a critical factor. Enable comprehensive profiling to identify novel drug targets and drug response biomarkers. Flow data seamlessly from Illumina sequencing systems. -
7
Elucidata Polly
Elucidata
Harness the power of biomedical data with Polly. The Polly Platform helps to scale batch jobs, workflows, coding environments and visualization applications. Polly allows resource pooling and provides optimal resource allocation based on your usage requirements and makes use of spot instances whenever possible. All this leads to optimization, efficiency, faster response time and lower costs for the resources. Get access to a dashboard to monitor resource usage and cost real time and minimize overhead of resource management by your IT team. Version control is integral to Polly’s infrastructure. Polly ensures version control for your workflows and analyses through a combination of dockers and interactive notebooks. We have built a mechanism that allows the data, code and the environment co-exist. This coupled with data storage on the cloud and the ability to share projects ensures reproducibility of every analysis you perform. -
8
ScienceDesk
ScienceDesk
ScienceDesk data automation demystifies the use of artificial intelligence in materials sciences. A practical tool for your team to add and apply the newest AI algorithms on an everyday basis. Customizable properties, universal identifiers, QR-codes and a powerful textual-numeric search engine that links sample and experimental data. ScienceDesk is an innovative platform for scientists and engineers to interact with, collaborate on and obtain insights into their experimental data. Unfortunately, the potential of this asset is not fully exploited due to the variety of data formats and the strong dependence on experts to manually extract specific information. The ScienceDesk research data management system solves this problem by combining documentation and data analysis in a cleverly-engineered data structure. Researchers and scientists are empowered by our algorithms to gain total control of their data. They can not only share datasets, but even the analysis know-how. -
9
witboost
Agile Lab
witboost is a modular, scalable, fast, efficient data management system for your company to truly become data driven, reduce time-to-market, it expenditures and overheads. witboost comprises a series of modules. These are building blocks that can work as standalone solutions to address and solve a single need or problem, or they can be combined to create the perfect data management ecosystem for your company. Each module improves a specific data engineering function and they can be combined to create the perfect solution to answer your specific needs, guaranteeing a blazingly fact and smooth implementation, thus dramatically reducing time-to-market, time-to-value and consequently the TCO of your data engineering infrastructure. Smart Cities need digital twins to predict needs and avoid unforeseen problems, gathering data from thousands of sources and managing ever more complex telematics. -
10
Intel Quantum Simulator
Intel Quantum Simulator
It is based on a complete representation of the qubit state but avoids the explicit representation of gates and other quantum operations in terms of matrices. Intel-QS uses the MPI (message-passing-interface) protocol to handle communication between the distributed resources used to store and manipulate quantum states. Intel-QS builds as a shared library which, once linked to the application program, allows to take advantage of the high-performance implementation of circuit simulations. The library can be built on a variety of different systems, from laptops to HPC server systems. -
11
SiLogy
SiLogy
Our next-generation web platform empowers chip developers and verification engineers to design and debug 10x faster. Build and run thousands of tests in parallel at the push of a button with Verilator. Seamlessly share test results and waveforms with anyone in your organization, tag coworkers directly on signals, track test and regression failures. We use Verilator to compile Dockerized simulation binaries and distribute test runs across our compute cluster. Then we collect the results and log files and optionally rerun failing tests to generate waveforms. With Docker, we can ensure that test runs are consistent and reproducible. SiLogy makes chip developers more productive by enabling faster design and debug times. Before SiLogy, the state-of-the-art for debugging a failing test involved copying lines from log files, debugging from waveforms on a local machine, or rerunning a simulation that might have taken days to run.
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