mitmproxy
Pandas
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mitmproxy | Pandas | |
---|---|---|
152 | 393 | |
34,347 | 41,923 | |
1.7% | 1.4% | |
9.4 | 10.0 | |
2 days ago | 5 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mitmproxy
- Ask HN: Fiddler Alternatives
- Bruno
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AirBnb Wifi Safety Precaution needed?
This statement gives a false sense of security. You can use a transparent proxy, like mitmproxy, to view HTTPS traffic - https://mitmproxy.org/. https://reedmideke.github.io/networking/2021/01/04/mitmproxy-openwrt.html
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WORKING tutorial on how to enable iOS voice chat RIGHT NOW
You'll need to install mitmproxy and set it up on your computer and iOS. I won't go into too much detail here on how to do this, but there are plenty of guides available. This is a pretty good one: https://nadav.ca/2021/02/26/inspecting-an-iphone-s-https-traffic/
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mitmproxy VS petep - a user suggested alternative
2 projects | 3 Oct 2023
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Upside-Down-Ternet (2006)
TIL this goes back to 2006, how cool! We nowadays have a much simpler version as a mitmproxy example: https://github.com/mitmproxy/mitmproxy/blob/main/examples/ad.... Although it obviously does not work as well anymore with everything being HTTPS nowadays (unless you trust the cert of course). :)
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Ask Dang: What Has Happened with HN's HTTPS Recently?
Perhaps you could have your device use a proxy that can do the HTTPS unwrap for you? https://mitmproxy.org/ maybe?
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How to implement SSL/TLS pinning in Node.js
A great way to test the effectiveness of a pinning implementation is by simulating an MITM attack. Tools like Mitmproxy or Wireshack allow us to create a test environment to monitor, intercept, and proxy network requests for a test host.
- Evading JavaScript Anti-Debugging Techniques
- Compatibility with Newer Versions of Cryptography
Pandas
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
- Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
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10 Github repositories to achieve Python mastery
Explore here.
What are some alternatives?
Wireshark - Read-only mirror of Wireshark's Git repository at https://gitlab.com/wireshark/wireshark. ⚠️ GitHub won't let us disable pull requests. ⚠️ THEY WILL BE IGNORED HERE ⚠️ Upload them at GitLab instead.
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
Shadowrocket-ADBlock-Rules - 提供多款 Shadowrocket 规则,带广告过滤功能。用于 iOS 未越狱设备选择性地自动翻墙。
tensorflow - An Open Source Machine Learning Framework for Everyone
bettercap - The Swiss Army knife for 802.11, BLE, IPv4 and IPv6 networks reconnaissance and MITM attacks.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
sslstrip - A tool for exploiting Moxie Marlinspike's SSL "stripping" attack.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
IOXY - MQTT intercepting proxy
Keras - Deep Learning for humans
ZAP - The ZAP core project
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration