RStudio Color Themes

Colors of the
Western Ghats

Three themes drawn from one of Earth's richest biodiversity hotspots — tropical rainforest, highland mist, and monsoon storm.

↓ Explore Themes GitHub ↗

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Dark Theme · v1.0

Sahyadri

Tropical rainforest at midnight

ghats_analysis.Rmd
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# Kaas Plateau biodiversity survey library(ggplot2) library(dplyr) ghats <- read.csv("ghats_survey.csv") if (nrow(ghats) > 0) { result <- ghats |> filter(altitude > 1200) |> ggplot(aes( x = altitude, y = species_count, colour = "region")) print(result) }

The original theme. Named after the Sahyadri range — the Kannada and Sanskrit name for the Western Ghats themselves. Dark olive-charcoal background with vivid neon greens, bright cyan, and coral-orange: the iridescent flora of a tropical rainforest seen after dark.

Designed for long coding sessions in low light. Deep brown comments recede naturally while function calls in coral and keywords in electric green create clear visual hierarchy without eye strain.

bg
keyword
number
function
heading
string
comment
constant

Install in RStudio

rstudioapi::addTheme( "https://raw.githubusercontent.com/kvenkita/sahyadri/master/sahyadri.rstheme", apply = TRUE )

Light Theme · v1.1

Nilgiri

Blue mountains, tea estates, highland mist

ghats_analysis.Rmd
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# Kaas Plateau biodiversity survey library(ggplot2) library(dplyr) ghats <- read.csv("ghats_survey.csv") if (nrow(ghats) > 0) { result <- ghats |> filter(altitude > 1200) |> ggplot(aes( x = altitude, y = species_count, colour = "region")) print(result) }

Named after the Nilgiri hills — nīla (blue) giri (mountain) in Sanskrit — the southernmost massif of the Western Ghats. A warm parchment background evokes a field botanist's notebook in highland afternoon light.

Deep forest greens for keywords, terracotta red for strings, and amber gold for function names bring the landscape into the editor. The only light theme in the collection, designed for daytime work or high-ambient environments.

bg
keyword
string
number
function
heading
comment
operator

Install in RStudio

rstudioapi::addTheme( "https://raw.githubusercontent.com/kvenkita/sahyadri/master/nilgiri.rstheme", apply = TRUE )

Dark Theme · v1.1

Monsoon

The season that defines the mountains

ghats_analysis.Rmd
12345 678910 1112131415
# Kaas Plateau biodiversity survey library(ggplot2) library(dplyr) ghats <- read.csv("ghats_survey.csv") if (nrow(ghats) > 0) { result <- ghats |> filter(altitude > 1200) |> ggplot(aes( x = altitude, y = species_count, colour = "region")) print(result) }

June to September — the season that defines the Western Ghats. Monsoon rainfall shapes the landscape, carves the valleys, and feeds the rivers that flow east and west from the spine of the range.

Deep midnight-blue background (a cool contrast to Sahyadri's warm olive) with rain-washed teals, wet-moss greens, and the pale yellow of lightning above clouds. Fog-blue comments dissolve like mist on the peaks.

bg
keyword
string
number
function
heading
comment
char

Install in RStudio

rstudioapi::addTheme( "https://raw.githubusercontent.com/kvenkita/sahyadri/master/monsoon.rstheme", apply = TRUE )