Search Results for "data structure"
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Showing 6 open source projects for "data structure"
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Get full visibility and control over your tasks and projects with Wrike.Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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DictDataBase
A python NoSQL dictionary database, with concurrent access and ACID
DictDataBase (DictDB) is a lightweight, Python-based in-memory database that uses dictionaries as its primary data structure. It provides a simple and efficient way to store, retrieve, and manipulate data without requiring an external database server. DictDB is useful for applications needing fast lookups, temporary storage, or embedded database functionalities. -
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Infrastructure for creating document flow solutions, document forms, document printing forms. Automated data structure creation and modufication. Basic shems for store managment, accounting and other document flow tasks.
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DataFinder is a data management client developed in Python that primarily targets the management of scientific technical data. The system is able to handle large amounts of data and can be easily integrated in existing working environments.
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ShelveDB is a pure python SQL-like database engine, where queries are preformed in analogous python syntax. It uses only built-in modules and shelve as the data structure. It has regular expression searching, plus native python typing and type checking.
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Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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Embedding the meaning of the datas in the storage can improve the consistency of the stored information and simplify the its exchange: the semantic structure is defined through a strong semantic typing of the data and the use of external dictionaries.
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