Top IDE index

The Top IDE Index is created by analyzing how often IDEs' download page are searched on Google

The more an IDE is searched, the more popular the IDE is assumed to be. The raw data comes from Google Trends.

If you believe in collective wisdom, the Top IDE index can help you decide which IDE to use for your software development project.


United Kingdom, Jun 2025 :

Rank
ChangeIDEShare1-year trend
1Visual Studio45.96 %+6.0 %
2Visual Studio Code20.89 %+3.3 %
3pyCharm9.81 %-4.5 %
4Android Studio6.47 %+1.0 %
5IntelliJ5.96 %-2.2 %
6Eclipse3.58 %-4.5 %
7RStudio2.79 %+0.3 %
8Xcode2.66 %+0.3 %
9Atom0.73 %+0.4 %
10NetBeans0.47 %+0.5 %
11Code::Blocks0.35 %+0.4 %
12Sublime Text0.17 %+0.2 %
13Vim0.14 %-0.4 %
14PhpStorm0.03 %+0.0 %
15Emacs0.0 %+0.0 %
16JDeveloper0.0 %+0.0 %
22Qt Creator0.0 %+0.0 %
22Light Table0.0 %+0.0 %
22MonoDevelop0.0 %+0.0 %
22Monkey Studio0.0 %+0.0 %
22Aptana0.0 %+0.0 %
22Komodo0.0 %-0.4 %
22Julia Studio0.0 %+0.0 %
22JCreator0.0 %-0.5 %
22Eric Python0.0 %+0.0 %
22DrJava0.0 %+0.0 %
22Coda 20.0 %+0.0 %
22RAD Studio0.0 %+0.0 %
© Pierre Carbonnelle, 2023

In United Kingdom, Visual Studio is the most popular IDE, Visual Studio grew the most in the last 5 years (15.3%) and Eclipse lost the most (-10.1%)

This chart uses a logarithmic scale. It can show your favorite IDE

in a country

FAQ

The Top IDE Index is created by analyzing how often Integrated Development Environment (IDE) downloads are searched on Google : the more an IDE is searched, the more popular the IDE is assumed to be. The raw data comes from Google Trends.

If you believe in collective wisdom, the TOP IDE Top IDE index can help you decide which IDE to use for your software development project.

The following principles were used:

    • just the IDE name, e.g. Atom, would lead to inconsistent results, because Atom has many other meanings;
    • the same search phrase should be used for all IDE, for consistency.
    • the number of "download" search is a good leading indicator.

Some IDE are not listed because their name has other meanings, or because there is not enough data for them on Google Trends.

We export the data from Google Trends in CSV format, [s] and analyze it with python's pandas. We first calculate the interest of each IDE relative to Visual Studio every month. Normalizing the total to 100% yields the share of interest in each IDE, i.e. their popularity, which we smooth over 6 months.
Contact © Pierre Carbonnelle, 2023, CC BY 3.0.