Search Results for "data structure"
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Showing 6 open source projects for "data structure"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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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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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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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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