You can try Plotly’s libraries for R and Python - they are free and open-source. Check out interactive controls in Python and R.
- WIND FARM PARKS
- THE COLOR SCALE
- BOX PLOT STATISTICS
- CHANGE THE CHART TYPE
- OLYMPIC WINNERS
- HIGHLIGHT A LINE
- CHANGE MAP STYLE
- CHANGE MAP PROJECTION
- ROTATE A GLOBE
- MODULATE A SINE WAVE
- FADE A BACKGROUND IMAGE
- A RANGE SLIDER TO SELECT THE DATE
- A SLIDER TO MODEL AN EQUATION
- A SLIDER TO ANIMATE MORTGAGE RATES
- A SLIDER TO CALCULATE MOVING AVERAGE
For more flexible controls of Python or R charts, see RStudio’s Shiny for R or GitHub Plotly’s Dash for Python.
Enjoy!