TIOBE Index for October 2024
October Headline: Rust is slowly but steadily approaching the TIOBE index top 10
In today's world, the amount of available data of whatever kind is increasing rapidly, and the demand to harvest this data is increasing accordingly. Hence, there is now a need for programming languages that are good in data manipulation, number crunching and being fast. Next to this, there are two other important characteristics high on everybody's list: languages should be easy to learn and should be secure. "Easy to learn" because the resource pool of skilled software engineers is drying up and "secure" because of continuous cyber threats. Languages that have these three traits (being fast, being secure and easy to learn), have a good time now.
King of all, Python, is easy to learn and secure, but not fast. Hence, engineers are frantically looking for fast alternatives for Python. C++ is an obvious candidate, but it is considered "not secure" because of its explicit memory management. Rust is another candidate, although not easy to learn. Rust is, thanks to its emphasis on security and speed, making its way to the TIOBE index top 10 now.
The cry for fast, data crunching languages is also visible elsewhere in the TIOBE index. The language Mojo, which is a mix of Python and Swift, but much faster, enters the top 50 for the first time. The fact that this language is only 1 year old and already showing up, makes it a very promising language.
The TIOBE Programming Community index is an indicator of the popularity of programming languages. The index is updated once a month. The ratings are based on the number of skilled engineers world-wide, courses and third party vendors. Popular web sites Google, Amazon, Wikipedia, Bing and more than 20 others are used to calculate the ratings. It is important to note that the TIOBE index is not about the best programming language or the language in which most lines of code have been written.
The index can be used to check whether your programming skills are still up to date or to make a strategic decision about what programming language should be adopted when starting to build a new software system. The definition of the TIOBE index can be found here.
Oct 2024 | Oct 2023 | Change | Programming Language | Ratings | Change | |
---|---|---|---|---|---|---|
1 | 1 | Python | 21.90% | +7.08% | ||
2 | 3 | C++ | 11.60% | +0.93% | ||
3 | 4 | Java | 10.51% | +1.59% | ||
4 | 2 | C | 8.38% | -3.70% | ||
5 | 5 | C# | 5.62% | -2.09% | ||
6 | 6 | JavaScript | 3.54% | +0.64% | ||
7 | 7 | Visual Basic | 2.35% | +0.22% | ||
8 | 11 | Go | 2.02% | +0.65% | ||
9 | 16 | Fortran | 1.80% | +0.78% | ||
10 | 13 | Delphi/Object Pascal | 1.68% | +0.38% | ||
11 | 9 | SQL | 1.64% | -0.15% | ||
12 | 14 | MATLAB | 1.48% | +0.22% | ||
13 | 20 | Rust | 1.45% | +0.53% | ||
14 | 12 | Scratch | 1.41% | +0.05% | ||
15 | 8 | PHP | 1.21% | -0.69% | ||
16 | 10 | Assembly language | 1.13% | -0.51% | ||
17 | 17 | R | 1.09% | +0.12% | ||
18 | 19 | Ruby | 0.99% | +0.07% | ||
19 | 24 | COBOL | 0.99% | +0.23% | ||
20 | 15 | Swift | 0.98% | -0.09% |
Other programming languages
The complete top 50 of programming languages is listed below. This overview is published unofficially, because it could be the case that we missed a language. If you have the impression there is a programming language lacking, please notify us at tpci@tiobe.com. Please also check the overview of all programming languages that we monitor.
Position | Programming Language | Ratings |
---|---|---|
21 | Kotlin | 0.97% |
22 | Classic Visual Basic | 0.87% |
23 | SAS | 0.76% |
24 | Ada | 0.73% |
25 | (Visual) FoxPro | 0.67% |
26 | Scala | 0.64% |
27 | Prolog | 0.62% |
28 | Julia | 0.57% |
29 | Perl | 0.56% |
30 | Lua | 0.56% |
31 | Dart | 0.56% |
32 | Haskell | 0.56% |
33 | Lisp | 0.52% |
34 | Objective-C | 0.42% |
35 | Transact-SQL | 0.37% |
36 | VBScript | 0.33% |
37 | TypeScript | 0.32% |
38 | PL/SQL | 0.28% |
39 | Solidity | 0.27% |
40 | ABAP | 0.25% |
41 | D | 0.22% |
42 | Logo | 0.21% |
43 | PowerShell | 0.21% |
44 | GAMS | 0.20% |
45 | Awk | 0.18% |
46 | Erlang | 0.16% |
47 | Elixir | 0.16% |
48 | RPG | 0.16% |
49 | Mojo | 0.15% |
50 | F# | 0.15% |
The Next 50 Programming Languages
The following list of languages denotes #51 to #100. Since the differences are relatively small, the programming languages are only listed (in alphabetical order).
- ABC, ActionScript, Algol, Apex, APL, Bash, Carbon, CFML, CHILL, CLIPS, Clojure, CLU, Crystal, Curl, DiBOL, Eiffel, Elm, Forth, Groovy, Hack, Icon, Inform, Io, J, JScript, JScript.NET, LabVIEW, Ladder Logic, ML, Modula-2, MQL5, NATURAL, OCaml, Occam, OpenCL, Pascal, PL/I, Q, Ring, S, Scheme, Smalltalk, SPARK, Stata, SystemVerilog, Tcl, VHDL, Wolfram, X++, Zig
Very Long Term History
To see the bigger picture, please find below the positions of the top 10 programming languages of many years back. Please note that these are average positions for a period of 12 months.
Programming Language | 2024 | 2019 | 2014 | 2009 | 2004 | 1999 | 1994 | 1989 |
---|---|---|---|---|---|---|---|---|
Python | 1 | 3 | 8 | 7 | 7 | 24 | 22 | - |
C | 2 | 2 | 1 | 2 | 2 | 1 | 1 | 1 |
C++ | 3 | 4 | 4 | 3 | 3 | 2 | 2 | 2 |
Java | 4 | 1 | 2 | 1 | 1 | 4 | - | - |
C# | 5 | 6 | 5 | 6 | 8 | 19 | - | - |
JavaScript | 6 | 7 | 9 | 9 | 10 | 15 | - | - |
Visual Basic | 7 | 20 | 235 | - | - | - | - | - |
SQL | 8 | 9 | - | - | 92 | - | - | - |
Go | 9 | 16 | 36 | - | - | - | - | - |
Fortran | 10 | 28 | 29 | 26 | 13 | 13 | 5 | 9 |
Objective-C | 34 | 10 | 3 | 28 | 39 | - | - | - |
Lisp | 35 | 32 | 18 | 18 | 14 | 16 | 6 | 3 |
(Visual) Basic | - | - | 6 | 5 | 4 | 3 | 3 | 6 |
There are 2 important remarks here:
- There is a difference between "Visual Basic" and "(Visual) Basic" in the table above. Until 2010, "(Visual) Basic" referred to all possible dialects of Basic, including Visual Basic. After some discussion, it has been decided to split "(Visual) Basic" into all its dialects such as Visual Basic .NET, Classic Visual Basic, PureBasic, and Small Basic, just to name a few. Since Visual Basic .NET has become the major implementation of Visual Basic, it is now called "Visual Basic".
- The programming language SQL was added to the TIOBE index in 2018 after somebody pointed out that SQL is Turing Complete. So although this language is very old, it has only a short history in the index.
Programming Language Hall of Fame
The hall of fame listing all "Programming Language of the Year" award winners is shown below. The award is given to the programming language that has the highest rise in ratings in a year.
Year | Winner |
---|---|
2023 | C# |
2022 | C++ |
2021 | Python |
2020 | Python |
2019 | C |
2018 | Python |
2017 | C |
2016 | Go |
2015 | Java |
2014 | JavaScript |
2013 | Transact-SQL |
2012 | Objective-C |
2011 | Objective-C |
2010 | Python |
2009 | Go |
2008 | C |
2007 | Python |
2006 | Ruby |
2005 | Java |
2004 | PHP |
2003 | C++ |
Bugs & Change Requests
This is the top 5 of most requested changes and bugs. If you have any suggestions how to improve the index don’t hesitate to send an e-mail to tpci@tiobe.com.
- Apart from “<language> programming”, also other queries such as “programming with <language>”, “<language> development” and “<language> coding” should be tried out.
- Add queries for other natural languages (apart from English). The idea is to start with the Chinese search engine Baidu. This has been implemented partially and will be completed the next few months.
- Add a list of all search term requests that have been rejected. This is to minimize the number of recurring mails about Rails, JQuery, JSP, etc.
- Start a TIOBE index for databases, software configuration management systems and application frameworks.
- Some search engines allow to query pages that have been added last year. The TIOBE index should only track those recently added pages.
Yes, the only condition is to refer to its original source “www.tiobe.com”.
If a language meets the criteria of being listed (i.e. it is Turing complete and has an own Wikipedia entry that indicates that it concerns a programming language) and it is sufficiently popular (more than 5,000 hits for +”<language> programming” for Google), then please write an e-mail to tpci@tiobe.com.
We spent a lot of effort to obtain all the data and keep the TIOBE index up to date. In order to compensate a bit for this, we ask a fee of 5,000 US$ for the complete data set. The data set runs from June 2001 till today. It started with 25 languages back in 2001, and now measures more than 150 languages once a month. The data are available in comma separated format. Please contact sales@tiobe.com for more information.
Well, you can do it either way and both are wrong. If you take the sum, then you get the intersection twice. If you take the max, then you miss the difference. Which one to choose? Suppose somebody comes up with a new search term that is 10% of the original. If you take the max, nothing changes. If you take the sum then the ratings will rise 10%. So taking the sum will be an incentive for some to come up with all kinds of obscure terms for a language. That’s why we decided to take the max.
The proper way to solve this is is of course to take the sum and subtract the intersection. This will give rise to an explosion of extra queries that must be performed. Suppose a language has a grouping of 15 terms, then you have to perform 32,768 queries (all combinations of intersections). So this seems not possible either… If somebody has a solution for this, please let us know.