
bitwarden
1Password
KeePass
Lastpass
KeePassXC
have i been pwned?
Dashlane
Enpass
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
bitwarden
MatplotlibI moved from 1Password to Bitwarden about half a year ago. I never looked back, and I've never missed anything. The UI might be a touch clunkier than 1Password, but it's still good and perfectly usable on the whole. What is more, it is open-source and people can inspect its code.
Based on our record, bitwarden should be more popular than Matplotlib. It has been mentiond 611 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.
A more secure option is to use a password manager/vault application with Console integration, like Bitwarden, vault, pass, etc. Some will allow you to launch applications with environment variables pulled from secure storage. - Source: dev.to / 3 months ago
For solo developers: Skip Dashlane Premium unless you specifically need the built-in VPN. Bitwarden Premium at $3/month offers 90% of the functionality for 40% less money. - Source: dev.to / 4 months ago
Replace your password manager with Bitwarden, self-hosted and secure 2. - Source: dev.to / 5 months ago
Donโt try to remember them all. Use a password manager. It stores your passwords safely. Some good ones are Bitwarden, LastPass, and 1Password. - Source: dev.to / 11 months ago
Pro tip: Use tools like Bitwarden or 1Password to save it. - Source: dev.to / 11 months 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
1Password - 1Password can create strong, unique passwords for you, remember them, and restore them, all directly in your web browser.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
KeePass - KeePass is an open source password manager. Passwords can be stored in highly-encrypted databases, which can be unlocked with one master password or key file.
NumPy - NumPy is the fundamental package for scientific computing with Python
Lastpass - LastPass is an online password manager and form filler that makes web browsing easier and more secure.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.