Search Results for "open object store" - Page 2
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Showing 33 open source projects for "open object store"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Reves is tool for relational database reverse engineering. It maps the schema of existing databases into XML files.
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GTO is a file format whose primary usage is storage of static geometric data, though it can be used to store just about anything.
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Libraries and tools to support software design using executable code as specifications, to support Test Driven Development and other Agile methods.
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Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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Image2DocInfo has been made to quickly tag digital pictures. A GUI allows you to set attributes for an image, and then store them in XML files. Those files follow the Dublin Core naming scheme and are stored in the same directories than the pictures.
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A general purpose passthrough import graphics filter compatible with Microsoft Word 97 or 2003, allows the ability to paste graphics of potentially any format into a Word document. Compiles with Microsoft Visual C++ 6 or above.
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PyWeaver is going to be a fully functional HTML editor. It uses wxPython. We will being using Procedural Programming to give us the flexibility, simplicity and the kind of code reuse that Object Orientation cannot give at this stage of development.
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PySimpleTable
Lightweight Python 2D table object with column headers
For 2D data objects in Python, you have 3 main options: - Numpy Array - Pandas DataFrame (built on np.array) - SQL table Numpy and Pandas are great for working with a complete set of data, but not very efficient for building up row by row. SQL is good for building up the object row by row, but you have to write SQL and leave the world of Python objects. PySimpleTable tries to find the middle ground with more flexibility than Numpy or Pandas for incrementally building a 2D object...