deepsense.ai’s visual framework for creating Apache Spark applications in a fast, simple and interactive way is going open‑source as of September 26. The company is opening it up to the community and will now focus on further developing its other data science tool, Neptune.
deepsense.ai is making its first product’s code open after two years of development. Seahorse, the data analytics workbench, has become popular since its launch at the Spark Summit in San Francisco in 2015. It’s deepsense.ai’s answer to the increasing interest in fast Big Data processing provided by Apache Spark, an open‑source cluster‑computing framework. Seahorse owes its success to the fresh visual approach it employs to coding, which frees data analysts from knowing Spark internals and makes their work even faster.
deepsense.ai has already published Seahorse code on GitHub. The company will continue to provide support and maintenance for enterprise‑level integrations. Individual users can use the community forum moderated by deepsense.ai engineers to get help with their technical questions.
Piotr Niedźwiedź, deepsense.ai’s CTO and co‑founder, explains, “Seahorse hit 10,000 users this year and the number is still growing. From the beginning, we made the tool highly accessible for everyone, offering it at no cost and easy to download in two versions. Now we’re ready to make it fully open.”
Niedźwiedź’s company will now turn to its primary product, released exactly one year ago at Strata+Hadoop World in New York – Neptune, the Machine Learning Lab. He adds, “Building up Neptune has been in line with our development strategy centered around artificial intelligence. When our data science team started to run tons of machine learning and deep learning experiments for our clients daily, we needed a tool like Neptune to make their work easier and faster. So we created one. Now, Neptune is developing its own community and thanks to the constant feedback from our data scientists it grows with many new features every month.”
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