Draxlr VS NumPy
Compare Draxlr VS NumPy and see what are their differences
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Draxlr
HistogramMaker.net
Canva
Microsoft Power BI
Visme
Redash
Tableau
Metabase
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Draxlr is a tool to analyze and monitor your data. It can help you get answers from your database, without writing code. These answers and insights can be shared with your team and customers. You can build graphs, charts, and dashboards and share them as links, images, or embed them on your website and app. Not only that you can set up monitoring on your data, so if any data changes you can be alerted via Slack and Email.
DraxlrBased on our record, NumPy seems to be a lot more popular than Draxlr. While we know about 119 links to NumPy, we've tracked only 1 mention of Draxlr. 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.
You can try draxlr.com, it's read-only, no Write/Update. But in my opinion, it's pretty good for getting answers from your data without writing code. On top, I like the options to build dashboards and graphs and setup Slack and Email alerts. Source: almost 3 years ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 3 months ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 7 months ago
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
HistogramMaker.net - Create a Histogram for free with easy to use tools and download the Histogram as jpg, png or svg file. Customize Histogram according to your choice.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Canva - Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.
OpenCV - OpenCV is the world's biggest computer vision library
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.