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Seaborn
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Gitmore represents a thoughtful approach to democratizing Git repository intelligence, successfully addressing the common challenge of extracting actionable insights from complex development activities. The platformโs combination of AI-powered analysis, cross-platform compatibility, and business-friendly reporting creates compelling value for teams seeking to improve visibility into development progress without investing in comprehensive engineering analytics platforms.
Based on our record, Seaborn should be more popular than Gitmore.io. It has been mentiond 37 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.
Below are the key insights. If you want to see the Python code I used to do this analysis and generate the charts using Seaborn, you can find my full analysis Jupyter notebook on my Github repo here: Tip Analysis.ipynb. - Source: dev.to / over 1 year ago
Additionally, Seaborn (https://seaborn.pydata.org/) is a great mention for people that want to use Matplotlib with better default aesthetics, amongst other conveniences: "Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.". - Source: Hacker News / almost 2 years ago
Seaborn: built on top of matplotlib, adds a number of functions to make common statistical visualizations easier to generate. - Source: dev.to / almost 2 years ago
Pandas - The standard data analysis and manipulation tool Numpy - scientific computing library Seaborn - statistical data visualization Sklearn - basic machine learning and predictive analysis CausalML - a suite of uplift modeling and causal inference methods PyTorch - professional deep learning framework PivotTablejs - Dragโnโdrop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict - build... - Source: dev.to / about 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
Every commit has a message. Every PR has a title and description. The status update already exists. It's just locked in GitHub. Who this is for: - Founders updating investors - PMs writing release notes - CEOs who want visibility without standups - Anyone who asks "what shipped?" and waits for an engineer to respond What it does: Connect your repos. Ask questions: - "What shipped this month?" - "Who... - Source: Hacker News / 7 months ago
Gitmore (https://gitmore.io) โ natural language queries across GitHub, GitLab, and Bitbucket. Instead of filtering PRs, scanning commit logs, or asking engineers for updates: - "What shipped last week?" - "Who's been working on the API?" - "Which PRs have been open longest?" - "Summarize this month's releases" Plain English in, plain English out. How it works: Connect your repos via OAuth. We register... - Source: Hacker News / 7 months ago
If you're a founder who doesn't code, you probably rely on engineers to tell you what's shipping. That works until investors ask for updates, customers want a changelog, or you just need to know where things stand. What it does: Connect your repos. Ask questions: "What shipped last week?" "What's in progress?" "Who worked on what?" Get plain English answers from your commit history. Automated reports: Schedule... - Source: Hacker News / 7 months ago
Gitmore (https://gitmore.io) One feature I built that's been useful: a Slack bot that queries your Git history. Connect your repos. Add the bot to Slack. Ask:. - Source: Hacker News / 7 months ago
- 2FA support GitHub, GitLab, Bitbucket โ one dashboard. Free for 1 repo: https://gitmore.io How do you currently handle investor questions about engineering progress? - Source: Hacker News / 7 months ago
Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Quantopian - Your algorithmic investing platform
NumPy - NumPy is the fundamental package for scientific computing with Python
QuantConnect - QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.