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  • 1
    Nano PDF Editor

    Nano PDF Editor

    Edit PDF files with Nano Banana

    ...It provides core functionality such as page navigation, zooming, text selection, and rendering directly to native graphics surfaces, making it suitable for lightweight PDF viewing scenarios on desktop or embedded platforms. Designed to be easily embedded into larger software projects, Nano-PDF has a small code footprint and straightforward APIs that developers can call from common languages, helping it fit into text editors, document explorers, or custom user interfaces with minimal effort. The viewer strives to comply with standard PDF features, like annotations and linked bookmarks, while avoiding the complexity of full-featured document suites that prioritize editing or creation.
    Downloads: 8 This Week
    Last Update:
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  • 2
    Connexion

    Connexion

    Swagger/OpenAPI First framework for Python on top of Flask

    Connexion is a framework on top of Flask that automagically handles HTTP requests defined using OpenAPI (formerly known as Swagger), supporting both v2.0 and v3.0 of the specification. Connexion allows you to write these specifications, then maps the endpoints to your Python functions. This is what makes it unique from other tools that generate the specification based on your Python code. You are free to describe your REST API with as much detail as you want and then Connexion guarantees...
    Downloads: 2 This Week
    Last Update:
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  • 3

    PySimpleTable

    Lightweight Python 2D table object with column headers

    ...PySimpleTable tries to find the middle ground with more flexibility than Numpy or Pandas for incrementally building a 2D object without needing to use SQL. Once the 2D object is created, call an included method to convert it to a more efficient and powerful Numpy Array or Pandas DataFrame for the real work. A PySimpleTable has column headers names. Cells are referenced by: tbl[row_num][col_num] tbl[row_num]['colname'] Rows are added easily. Columns cannot be added or removed. Other features include: - sorting by column(s) - filter by function - convert to Numpy Array or Pandas DataFrame
    Downloads: 0 This Week
    Last Update:
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