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KV Store\nA fast, lightweight key-value store designed for hobbyists, combining the simplicity of NoSQL with SQLite3's robust filtering and sorting capabilities.\n## Features\n- **NoSQL-like Experience** – Work with database records as Python dictionaries.\n- **Simplified Access** – Retrieve data without remembering column names or indices.\n- **SQL Power** – Use SQL queries for filtering and sorting.\n- **Lightweight \u0026 Fast** – Minimal overhead with SQLite’s reliability.\n\n## Installation\n```sh\npip install git+https://github.com/jnsougata/fractal.git\n```\n\n## Example Usage\n\n```python\nfrom fractal import DB\nimport fractal.operators as op\n\nif __name__ == \"__main__\":\n\n    db = DB(\"example.db\")\n\n    users = db.collection(name=\"users\")\n\n    inserted = users.put(\n        {\"name\": \"Alice\", \"age\": 25},\n        {\"name\": \"Bob\", \"age\": 30},\n        {\"name\": \"Charlie\", \"age\": 35},\n        {\"name\": \"David\", \"age\": 40},\n    )\n    users = db.collection(\"users\")\n    results = users.where(op.greater_than(\"age\", 35))\n    print(list(results))\n```\n\n#### Sample Output:\n```\n[{'key': '379b87afd3d74f49bc1c59b8185bb534', 'name': 'David', 'age': 40}]\n```\n\n## Documentation\nHalf-baked docs [here.](https://fractal.readthedocs.io/en/latest/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjnsougata%2Ffractal","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjnsougata%2Ffractal","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjnsougata%2Ffractal/lists"}