sish
ngrok
localhost.run
Portmap.io
LocalXpose
Pagekite
Packetriot
LocaltoNet
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
sish MatplotlibBased on our record, Matplotlib should be more popular than sish. It has been mentiond 114 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Sish is an SSH-based solution that is simple to deploy and use. - Source: dev.to / 10 months ago
Weโre actually using Unix sockets as the underlying transport layer for this. Weโre also not using sshd, we custom wrote our own daemon thatโs entire job is tunneling. If youโre curious about this, you can find the project here: https://github.com/antoniomika/sish sish was actually my first foray into SSH apps. It was a lot of fun to write and pretty much implements tunnels with a routing system on top. It manages... - Source: Hacker News / over 1 year ago
Sish - Open source ngrok/serveo alternative. SSH-based but uses a custom server written in Go. Supports WebSocket tunneling. - Source: dev.to / about 2 years ago
Tunneling services can be considered as a solution in some cases. Services like ngrok, frp, localtunnel and sish create a public endpoint that tunnels communication to your local endpoint via a tunnel client. - Source: dev.to / about 3 years ago
Why not forget about Cloudflare and a VPN but get a 3 euro Hetzner server and install https://github.com/antoniomika/sish for dynamic DNS through SSH + Traefik with a DNS resolver and have yourself a wildcard certificate. This way you can host any service from home as long as you run a port forwarding service through SSH with a one liner on Ubuntu. Better yet make an alpine docker image with a command to route... Source: over 3 years ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
ngrok - ngrok enables secure introspectable tunnels to localhost webhook development tool and debugging tool.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
localhost.run - Instantly share your localhost environment!
NumPy - NumPy is the fundamental package for scientific computing with Python
Portmap.io - Expose your local PC to Internet from behind firewall and without real IP address
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
