Showing 5 open source projects for "fuzzy logic python"

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  • 1
    django-pgtrigger

    django-pgtrigger

    Write Postgres triggers for your Django models

    django-pgtrigger is a Django library for defining and managing PostgreSQL triggers directly in Python code. It allows developers to create database-level logic like automatic field updates, auditing, or validation without writing raw SQL. It’s ideal for teams that want stronger data integrity while keeping logic version-controlled.
    Downloads: 0 This Week
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  • 2
    sqlit

    sqlit

    A user friendly TUI for SQL databases

    sqlit is a keyboard-first terminal UI that lets you connect to, browse, and query SQL databases quickly without relying on heavyweight GUI clients. It positions itself as a “lazygit-style” experience for databases, aiming for fast startup, intuitive navigation, and developer-friendly workflows directly inside your terminal. The tool supports a wide range of database providers, so you can use one interface across local databases, remote servers, and cloud-hosted instances rather than juggling...
    Downloads: 2 This Week
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  • 3
    levin

    levin

    in-memory key value server with fuzzy search capabilities

    Levin is an event-based key/value server based on radix-tree (space optimized trie). Key search can be performed with an approximate key matching algorithm based on Levenshtein edit distance.
    Downloads: 0 This Week
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  • 4
    A knowledge base engine for Python built on F-Logic. It uses the FLORA-2 reasoning engine and provides permanent storage through ZODB. Logic programming concepts like logical variables, facts, rules and queries are included.
    Downloads: 0 This Week
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  • 5
    PONY - ORM & web publication framework

    PONY - ORM & web publication framework

    Pony is a fast and easy to use Python ORM

    Pony is an object-relational mapper. The most interesting feature of Pony is its ability to write queries to the database using generator expressions. Pony works with entities which are mapped to a SQL database. Using generator syntax for writing queries allows the user to formulate very eloquent queries. It increases the level of abstraction and allows a programmer to concentrate on the business logic of the application. Following is an example of a query in Pony: select(p for p in...
    Downloads: 0 This Week
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