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Top 20 Python Toolkit Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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xsser
Cross Site "Scripter" (aka XSSer) is an automatic -framework- to detect, exploit and report XSS vulnerabilities in web-based applications.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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EvilTwinFramework
A framework for pentesters that facilitates evil twin attacks as well as exploiting other wifi vulnerabilities
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script-toolbox
This repository contains a collection of scripts and tools that I have written to solve various problems that I have come across.
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EthicML
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
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tk-houdini-flipbook
A Shotgun Toolkit app to create flipbook of your current scene with use of SGTK templates.
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I was looking at this space and nicegui seemed like the best ootb experience.
https://nicegui.io/
Project mention: RAG Using Structured Data: Overview and Important Questions | news.ycombinator.com | 2024-01-10Ok, using ChatGPT and Bard (the irony lol) I learned a bit more about GNNs:
GNNs are probabilistic and can be trained to learn representations in graph-structured data and handling complex relationships, while classical graph algorithms are specialized for specific graph analysis tasks and operate based on predefined rules/steps.
* Why is PyG it called "Geometric" and not "Topologic" ?
Properties like connectivity, neighborhoods, and even geodesic distances can all be considered topological features of a graph. These features remain unchanged under continuous deformations like stretching or bending, which is the defining characteristic of topological equivalence. In this sense, "PyTorch Topologic" might be a more accurate reflection of the library's focus on analyzing the intrinsic structure and connections within graphs.
However, the term "geometric" still has some merit in the context of PyG. While most GNN operations rely on topological principles, some do incorporate notions of Euclidean geometry, such as:
- Node embeddings: Many GNNs learn low-dimensional vectors for each node, which can be interpreted as points in a vector space, allowing geometric operations like distances and angles to be applied.
- Spectral GNNs: These models leverage the eigenvalues and eigenvectors of the graph Laplacian, which encodes information about the geometric structure and distances between nodes.
- Manifold learning: Certain types of graphs can be seen as low-dimensional representations of high-dimensional manifolds. Applying GNNs in this context involves learning geometric properties on the manifold itself.
Therefore, although topology plays a primary role in understanding and analyzing graphs, geometry can still be relevant in certain contexts and GNN operations.
* Real world applications:
- HuggingFace has a few models [0] around things like computational chemistry [1] or weather forecasting.
- PyGod [2] can be used for Outlier Detection (Anomaly Detection).
- Apparently ULTRA [3] can "infer" (in the knowledge graph sense), that Michael Jackson released some disco music :-p (see the paper).
- RGCN [4] can be used for knowledge graph link prediction (recovery of missing facts, i.e. subject-predicate-object triples) and entity classification (recovery of missing entity attributes).
- GreatX [5] tackles removing inherent noise, "Distribution Shift" and "Adversarial Attacks" (ex: noise purposely introduced to hide a node presence) from networks. Apparently this is a thing and the field is called "Graph Reliability" or "Reliable Deep Graph Learning". The author even has a bunch of "awesome" style lists of links! [6]
- Finally this repo has a nice explanation of how/why to run machine learning algorithms "outside of the DB":
"Pytorch Geometric (PyG) has a whole arsenal of neural network layers and techniques to approach machine learning on graphs (aka graph representation learning, graph machine learning, deep graph learning) and has been used in this repo [7] to learn link patterns, also known as link or edge predictions."
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0: https://huggingface.co/models?pipeline_tag=graph-ml&sort=tre...
1: https://github.com/Microsoft/Graphormer
2: https://github.com/pygod-team/pygod
3: https://github.com/DeepGraphLearning/ULTRA
4: https://huggingface.co/riship-nv/RGCN
5: https://github.com/EdisonLeeeee/GreatX
6: https://edisonleeeee.github.io/projects.html
7: https://github.com/Orbifold/pyg-link-prediction
Project mention: VcenterKit: Vcenter综合渗透利用工具包 | Vcenter Comprehensive Penetration and Exploitation Toolkit | /r/blueteamsec | 2023-08-26
New KiCad install seems to already have in it's default repo https://github.com/bennymeg/JLC-Plugin-for-KiCad
Yea scripts like that exist everywhere but mostly they are part of either a toolset or a library of scripts which makes it hard to find. here are a couple of good useful ones worth taking a look at: https://prism-pipeline.com/ https://github.com/nfa-vfxim/tk-houdini-flipbook
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Toolkit related posts
- PysimpleGUI
- Python GUI libraries recommendations?
- I want to add kali repositories to my ubuntu repositories.Does it harm my PC?
- Updating the progress in UI from run.cpu_bound method
- Moving from Streamlit to Nicegui
- *FOLDER* picker, not file picker?
- Create text annotation tool using NiceGui
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Index
What are some of the best open-source Toolkit projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | nicegui | 7,298 |
| 2 | pygod | 1,207 |
| 3 | xsser | 1,060 |
| 4 | VcenterKit | 892 |
| 5 | XToolbox | 722 |
| 6 | DGFraud | 655 |
| 7 | E4GL30S1NT | 506 |
| 8 | SpiceyPy | 370 |
| 9 | EvilTwinFramework | 250 |
| 10 | Fabrication-Toolkit | 246 |
| 11 | voicesmith | 207 |
| 12 | klpt | 91 |
| 13 | PyWebScrapBook | 70 |
| 14 | script-toolbox | 49 |
| 15 | DearPyGui-Obj | 45 |
| 16 | caracara | 33 |
| 17 | EthicML | 24 |
| 18 | gswidgetkit | 9 |
| 19 | tk-houdini-flipbook | 9 |
| 20 | SkidKit | 8 |
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