What is Flow CSV Editor?
It is a light-weight tool for viewing and editing CSV files locally on your Windows computer. It's primarily designed for timed data such as sensor data and measurement logs, but it can be used with any valid CSV file. The data is presented as line plots rather than in a grid, and zooming, scrolling and rearranging the plots is fast and efficient, also on large data sets.
Flow CSV Editor is a tool in the Charting Libraries category of a tech stack.
Who uses Flow CSV Editor?
Flow CSV Editor's Features
- Open any valid CSV file
- Line plot display
- Arrange line plots into cells
- Print plots and copy plot as image
- Simple text search
- Advanced boolean expression search
- Formula engine based on Python syntax
- Edit values
- Cut, copy and paste samples or data
- Remove, reorder and rename variables
- Redefine variables with Python expressions
- Sort samples
- Unlimited undo and redo
Flow CSV Editor Alternatives & Comparisons
What are some alternatives to Flow CSV Editor?
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
D3.js
It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.
Highcharts
Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
Matplotlib
It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
Plotly.js
It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R).
It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
