Showing 668 open source projects for "ekho-data"

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    Build Agents and Models on One Platform

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  • 1
    NiceGUI

    NiceGUI

    Create web-based user interfaces with Python

    ...It abstracts away the complexities of HTML, CSS, and JavaScript, allowing for rapid development of web interfaces directly from Python scripts. NiceGUI is suitable for building dashboards, control panels, and other web-based tools, especially in contexts like robotics and data visualization.
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  • 2
    peepDB

    peepDB

    CLI tool and python library to inspect databases fast

    peepDB is an open-source command-line tool and Python library designed for developers and database administrators who need a fast and efficient way to inspect their database tables without writing SQL queries. With support for MySQL, PostgreSQL, and MariaDB, peepDB is lightweight, secure, and incredibly easy to use.
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  • 3
    Google Toolbox for Mac

    Google Toolbox for Mac

    Google Toolbox for Mac

    ...It consolidates reusable code components drawn from various internal Google projects, offering developers a wide range of tools for building efficient, maintainable Apple platform software. The library includes modules for networking, logging, testing, data handling, and user interface extensions, helping developers avoid reinventing common functionality. Its modular design allows developers to integrate only the components they need, improving project flexibility and performance. With well-documented interfaces and consistent coding standards, Google Toolbox for Mac serves as a reliable foundation for both small and large-scale applications. ...
    Downloads: 1 This Week
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  • 4
    Flama

    Flama

    Fire up your models with the flame

    Flama is a python library which establishes a standard framework for development and deployment of APIs with special focus on machine learning (ML). The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs. Besides, it comprises an ideal solution...
    Downloads: 1 This Week
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    MongoDB Atlas runs apps anywhere

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  • 5
    TurboGears

    TurboGears

    Python web framework with full-stack layer

    TurboGears is a hybrid web framework able to act both as a Full Stack framework or as a Microframework. TurboGears helps you get going fast and gets out of your way when you want it! TurboGears can be used both as a full stack framework or as a microframework in single-file mode. TurboGears 2 is built on top of the experience of several next-generation web frameworks including TurboGears 1 (of course), Django, and Rails. All of these frameworks had limitations that frustrated us, and TG2 was...
    Downloads: 1 This Week
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  • 6
    Think Python

    Think Python

    Jupyter notebooks and other resources for Think Python

    ...Topics progress from expressions and functions to collections, recursion, classes, files, and larger program structures. Supporting resources include solution notebooks, turtle graphics utilities, diagrams, sample data, images, and downloadable notebook archives. The notebook format lets readers modify examples and test ideas while studying each concept. It serves both independent learners and instructors who need adaptable course materials for an introductory programming class.
    Downloads: 0 This Week
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  • 7
    borb

    borb

    borb is a library for reading, creating and manipulating PDF files

    borb is a library for creating and manipulating PDF files in python. borb is a pure python library to read, write, and manipulate PDF documents. It represents a PDF document as a JSON-like data structure of nested lists, dictionaries and primitives (numbers, string, booleans, etc) This is currently a one-man project, so the focus will always be to support those use-cases that are more common in favor of those that are rare.
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  • 8
    Sentry

    Sentry

    Cross-platform application monitoring and error tracking software

    ...It lets you build better software faster and more efficiently by showing you all issues in one place and providing the trail of events that lead to errors. It also provides real-time monitoring and data visualization through dashboards. Sentry’s server is in Python, but its API enables for sending events from any language, in any application. More than fifty-thousand companies already ship better software faster thanks to Sentry; let yours be one of them!
    Downloads: 1 This Week
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  • 9
    LocalGPT

    LocalGPT

    Chat with your documents on your local device using GPT models

    LocalGPT is a private, on-premises document intelligence platform for questioning, summarizing, and analyzing files with locally hosted language models. Its data remains on the user’s machine, making it suitable for confidential or offline workflows. The retrieval system combines semantic similarity, keyword matching, late chunking, contextual enrichment, and sentence-level pruning. A smart router chooses between retrieval-augmented generation and direct model responses for each query. An independent verification pass is intended to improve answer reliability before results are returned. ...
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    Veeam Data Platform v13.1

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  • 10
    mimic

    mimic

    Intercept any app, then call it from Python like a library

    ...Generated clients are ordinary source files built on mimic.App, so developers can inspect and modify them directly. The system can preserve request templates and model multi-step API flows in which one call supplies data for another. Its command-line workflow checks prerequisites, records traffic, lists captured hosts, and prepares reusable sessions. The current documentation focuses on routing iPhone traffic through a Mac-hosted proxy. Mimic is intended for applications and accounts the user is authorized to inspect and automate.
    Downloads: 0 This Week
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  • 11
    ZaneOps

    ZaneOps

    A self-hosted PaaS for deploying and managing web apps

    ...ZaneOps supports Docker image deployments and deployment webhooks, making it useful for automated release workflows. It is aimed at startups, self-hosters, and teams that want modern deployment convenience without giving up control over servers, costs, or data.
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  • 12
    CUDA Python

    CUDA Python

    Performance meets Productivity

    ...The toolkit also includes utilities for profiling, memory management, distributed computing, and numerical operations, making it suitable for scientific computing, AI, and data processing workloads.
    Downloads: 0 This Week
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  • 13
    NVIDIA Warp

    NVIDIA Warp

    A Python framework for accelerated simulation, data generation

    NVIDIA Warp is a high-performance Python framework developed by NVIDIA for building and accelerating simulation, graphics, and physics-based workloads using GPU computing. It enables developers to write kernel-level code in Python that is automatically compiled into efficient CUDA kernels, combining ease of use with near-native performance. The framework is designed for applications such as robotics, reinforcement learning, physical simulation, and differentiable computing, where performance...
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  • 14
    Django Bootstrap Modal Forms

    Django Bootstrap Modal Forms

    A Django plugin for creating AJAX driven forms in Bootstrap modal

    ...This repository includes Dockerfile and docker-compose.yml files so you can easily setup and start to experiment with django-bootstrap-modal-forms running inside of a container on your local machine. Any changes you make in bootstrap_modal_forms, examples and test folders are reflected in the container (see docker-compose.yml) and the data stored in the sqlite3 database are persistent even if you remove the stopped container. Note that the master branch contains Bootstrap 4 examples, while the bootstrap5-examples branch contains Bootstrap 5 examples. To experiment with Bootstrap 5 examples simply switch the branch.
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  • 15
    rich

    rich

    Rich is a Python library for rich text and beautiful formatting

    ...Effortlessly add rich output to your application, you can import the rich print method, which has the same signature as the builtin Python function. Rich can be installed in the Python REPL, so that any data structures will be pretty printed and highlighted. As you might expect, this will print "Hello World!" to the terminal. Note that unlike the builtin print function, Rich will word-wrap your text to fit within the terminal width.
    Downloads: 0 This Week
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  • 16
    IceCream

    IceCream

    Never use print() to debug again

    Do you ever use print() or log() to debug your code? Of course you do. IceCream, or ic for short, makes print debugging a little sweeter. With arguments, ic() inspects itself and prints both its own arguments and the values of those arguments. Just give ic() a variable or expression and you're done. ic() returns its argument(s), so ic() can easily be inserted into pre-existing code. Additionally, ic()'s output can be entirely disabled, and later re-enabled, with ic.disable() and ic.enable()...
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  • 17
    ProtoMotions

    ProtoMotions

    ProtoMotions is a GPU-accelerated simulation and learning framework

    ...It provides modular environments and learning components for animation, robotics, and reinforcement learning research. Large motion datasets such as AMASS and BONES can be divided across multiple GPUs for scalable policy training. A built-in PyRoki workflow retargets human motion data to different robot bodies with a single command. Policies can be tested across Isaac Gym, Isaac Lab, Newton, Genesis, MuJoCo, and high-fidelity Isaac Sim environments. Its deployment pipeline exports ONNX policies with observation processing included, simplifying transfers from simulation to real Unitree G1 hardware. The framework also supports procedural scene generation and motion authoring from Kimodo text-to-motion outputs.
    Downloads: 0 This Week
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  • 18
    My Python Eggs

    My Python Eggs

    Python Examples

    My Python Eggs, commonly associated with the geekcomputers Python repository, is a large collection of practical Python scripts and small programs created primarily for experimentation, automation, and educational purposes. Rather than being a single cohesive application, it functions as a repository of utilities that demonstrate how Python can be used to solve everyday problems and automate repetitive tasks. The scripts cover a wide range of topics, including file management, networking,...
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  • 19
    Kapitan

    Kapitan

    Generic templated configuration management for Kubernetes

    ...Kapitan's inventory-driven model, powerful templating capabilities, and native secret management tools offer granular control, fostering consistency, reducing errors, and safeguarding sensitive data. Empower your team to make changes to your infrastructure whilst maintaining full control, with a GitOps approach and full transparency.
    Downloads: 0 This Week
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  • 20
    Graphene-Django

    Graphene-Django

    Integrate GraphQL into your Django project

    Graphene-Django is built on top of Graphene. Graphene-Django provides some additional abstractions that make it easy to add GraphQL functionality to your Django project. First time? We recommend you start with the installation guide to get set up and the basic tutorial. It is worth reading the core graphene docs to familiarize yourself with the basic utilities. Graphene Django has a number of additional features that are designed to make working with Django easy. Our primary focus in this...
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  • 21
    Full Stack FastAPI and PostgreSQL

    Full Stack FastAPI and PostgreSQL

    Full stack, modern web application generator

    ...REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time.
    Downloads: 0 This Week
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  • 22
    Numba

    Numba

    NumPy aware dynamic Python compiler using LLVM

    ...Just apply one of the Numba decorators to your Python function, and Numba does the rest. Numba is designed to be used with NumPy arrays and functions. Numba generates specialized code for different array data types and layouts to optimize performance. Special decorators can create universal functions that broadcast over NumPy arrays just like NumPy functions do. Numba also works great with Jupyter notebooks for interactive computing, and with distributed execution frameworks, like Dask and Spark.
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  • 23
    claude-code-transcripts

    claude-code-transcripts

    Tools for publishing transcripts for Claude Code sessions

    claude-code-transcripts is a command-line utility that takes session files exported from Claude Code (in JSON or JSONL format) and turns them into clean, navigable HTML transcripts that can be viewed in any modern web browser. It is designed to make the often dense and verbose outputs from AI coding sessions easier to read, share, and archive by breaking conversations into paginated, annotated pages with navigable timelines of prompts and responses. Users can run this tool locally or fetch...
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  • 24
    Computer Science Flash Cards

    Computer Science Flash Cards

    Mini website for testing both general CS knowledge and enforce coding

    This repository collects concise flash cards that cover the core ideas of a traditional computer science curriculum with a focus on interview readiness. The cards distill topics like time and space complexity, classic data structures, algorithmic paradigms, operating systems, networking, and databases into short, testable prompts. They are designed for spaced-repetition style study so you can cycle frequently through fundamentals until recall feels automatic. Many cards point at canonical definitions or contrasts (e.g., stack vs. queue, BFS vs. DFS) to strengthen conceptual boundaries. ...
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  • 25
    Atheris

    Atheris

    A Coverage-Guided, Native Python Fuzzer

    ...The tool integrates smoothly with Python’s packaging and unit-test ecosystems, so you can wrap existing tests as fuzz targets and keep results understandable. It supports structured input strategies and custom mutators, which is especially helpful for text and data formats common in Python workloads. In practice, Atheris compresses weeks of edge-case brainstorming into hours of automated exploration with actionable, minimized reproductions.
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