Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
QuickChart
Image Charts
Visualis
ChartURL
Chartworks
DataWrapper
Google Charts
Chartle.app
Pandas QuickChartPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas seems to be a lot more popular than QuickChart. While we know about 231 links to Pandas, we've tracked only 20 mentions of QuickChart. 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.
Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain aligned. Tools such as Pandas, Spark, or feature platforms such as Feast can be used to implement that logic. - Source: dev.to / about 2 months ago
For early-career security practitioners (0-3 years). Start with Python literacy if you do not have it. The free Python Crash Course book and the pandas getting-started guide are enough to bootstrap. Then a hands-on applied course: GTK Cyber's Applied Data Science & AI for Cybersecurity and SANS SEC595 are both reasonable starting points. The goal at this stage is to be able to load a Zeek conn.log into a pandas... - Source: dev.to / 2 months ago
Python and data engineering for security data. Pandas for ingesting Zeek, Sysmon, EDR, and SIEM exports. Timestamp normalization to UTC, join keys across heterogeneous sources, feature extraction from raw logs. Without this layer, the ML content downstream is theater. - Source: dev.to / 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 2 months ago
Pandas url is the most widely used library for data manipulation. - Source: dev.to / 2 months ago
QuickChart is the closest reference point in terms of input format and chart coverage. It can also be self-hosted; fulgur-chart makes a narrower bet on a single local binary, data-only input, no JavaScript runtime, and deterministic output. - Source: dev.to / about 1 month ago
Const URL = 'https://quickchart.io/chart'; Const WIDTH = '100%'; Const HEIGHT = 'auto'; Export const QuickChart = (Tag: React.FunctionComponent): React.FunctionComponent => { return ({ children, className, . .props }) => { if (className ! == 'language-quickchart') { return ( {children}Tag> ); } const json = JSON.parse(children); const { url, width,... - Source: dev.to / about 2 years ago
If print friendly reports are a requirement, I'd go with QuickChart (https://quickchart.io.) Static charts similar to chart.js, but without all the javascript. I've found static charts are much easier to work with once print CSS layout becomes a requirement. - Source: Hacker News / about 2 years ago
n8n โ Zapier alternative. I just set up a workflow that calls my SerpBear API, sends that to quickcharts to create a graph, and then sends me a message on Signal with signal-cli-rest-api. Iโm thinking of building some templates through the creatorโs program. Let me know what youโd be interested in seeing. - Source: dev.to / over 2 years ago
QuickChart โ Generate embeddable image charts, graphs, and QR codes. - Source: dev.to / over 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Image Charts - No more pain rendering charts server-side.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Visualis - Use Visual.is to create beautiful and dynamic reports, charts and dashboards.
OpenCV - OpenCV is the world's biggest computer vision library
ChartURL - Add rich, data-driven charts to web & mobile apps, Slack bots, and emails. Send us data, and we return an image that renders perfectly on all platforms.