Cornerstone AI
The traditional system of bespoke data review is not keeping up with the quantity and speed of data. Cornerstone AI has developed a self-learning AI platform to automatically create smarter data rules to clean and organize your data, getting you to better analytical datasets faster. Clinical data that is costing your team time and effort to clean and prepare. Clinical trial, EHR, registry, digital health, claims, image, and sensor data are all supported by our platform. Our platform scans each table and data point, inferring structure and validity. With this, we organize tables for analysis and remove & correct errors in your data. An instant data quality report, highlighting features with most errors. Automated or UI-based correction of those errors, API access to connect directly to your data pipeline, and audit trail for everything. We do not keep, aggregate, or resell your data. Your data is yours and is only used for you.
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Coder
Coder delivers self-hosted cloud development environments consistently provisioned as code and pre-deployed for developer activity on day one. Preferred by enterprises, Coder is open source and runs air-gapped on-premise or in your cloud, giving developers access to powerful infrastructure without compromising governance.
Coder moves local development and source code to your centralized infrastructure where developers can access their remote environments via their favorite desktop or web-based IDE. This is the optimal intersection of improved developer experience, productivity, and security.
Coder’s ephemeral development environments are provisioned as code from pre-defined templates, which means developers can create a new workspace with a click. Now, they can avoid days or weeks struggling with local dependency versioning conflicts or security approvals. With Coder, developers can onboard or shift between projects in minutes.
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Stata
Stata is a complete, integrated software package that provides all your data science needs: data manipulation, visualization, statistics, and automated reporting. Stata is fast and accurate. It is easy to learn through the extensive graphical interface yet completely programmable. With Stata's menus and dialogs, you get the best of both worlds. You can easily point and click or drag and drop your way to all of Stata's statistical, graphical, and data management features. Use Stata's intuitive command syntax to quickly execute commands. Whether you enter commands directly or use the menus and dialogs, you can create a log of all actions and their results to ensure the reproducibility and integrity of your analysis. Stata also has complete command-line scripting and programming facilities, including a full matrix programming language. You have access to everything you need to script your analysis or even to create new Stata commands--commands that work just like those shipped with Stata.
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Dask
Dask is open source and freely available. It is developed in coordination with other community projects like NumPy, pandas, and scikit-learn. Dask uses existing Python APIs and data structures to make it easy to switch between NumPy, pandas, scikit-learn to their Dask-powered equivalents. Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world. But you don't need a massive cluster to get started. Dask ships with schedulers designed for use on personal machines. Many people use Dask today to scale computations on their laptop, using multiple cores for computation and their disk for excess storage. Dask exposes lower-level APIs letting you build custom systems for in-house applications. This helps open source leaders parallelize their own packages and helps business leaders scale custom business logic.
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