2020 Julia User and Developer Survey Results Released
The Julia programming language community released the results of its second annual User and Developer Survey, conducted in August 2020. The survey saw significant growth, with 2,565 participants from 102 countries, up from 1,844 the previous year. Respondents were predominantly academics (60%) and professionals (43%), with over 70% under the age of 45. Key findings indicate that 34% of professionals use Julia for business-critical production tasks or team development. Users primarily value Julia for its speed, performance, ease of use, and open-source nature, while citing slow compile times and package maturity as main drawbacks. Python remains the most common complementary language, especially among new users. The survey highlights a strong, collaborative community, with 81% of respondents describing it as helpful. Most users adopted Julia within the last two to three years, often replacing tools like MATLAB, R, and C++. The results underscore Julia's growing adoption in scientific computing and data science sectors globally.
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2020 Julia User and Developer Survey Results Released
The Julia programming language community released the results of its second annual User and Developer Survey, conducted in August 2020. The survey saw significant growth, with 2,565 participants from 102 countries, up from 1,844 the previous year. Respondents were predominantly academics (60%) and professionals (43%), with over 70% under the age of 45. Key findings indicate that 34% of professionals use Julia for business-critical production tasks or team development. Users primarily value Julia for its speed, performance, ease of use, and open-source nature, while citing slow compile times and package maturity as main drawbacks. Python remains the most common complementary language, especially among new users. The survey highlights a strong, collaborative community, with 81% of respondents describing it as helpful. Most users adopted Julia within the last two to three years, often replacing tools like MATLAB, R, and C++. The results underscore Julia's growing adoption in scientific computing and data science sectors globally.
JuliaLang - The Julia programming language