EViews - 30 μετρικές και σκορ AHP
Εισαγωγή
Η EViews είναι μια Multi-paradigm γλώσσα προγραμματισμού που εμφανίστηκε για πρώτη φορά το 1994, σχεδιασμένη από τον Quantitative Micro Software. Κύριες χρήσεις: Data Science, Scientific Computing, Statistics.
30 μετρικές
| Μετρική | Τιμή | Κατάταξη |
|---|---|---|
| GitHub Stars | 17885 | 179 |
| Stack Overflow Tags | 235771 | 175 |
| TIOBE Rank | 150 | |
| RedMonk Rank | 165 | |
| PYPL Rank | 153 | |
| Average Salary (USD) | 51946 | 197 |
| Job Postings | 12447 | 177 |
| Benchmarks Score | 0.17 | 196 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 1 | |
| Ecosystem Maturity | 3 | |
| Industry Adoption | 3 | |
| Type System Complexity | 1 | |
| Concurrency Support | 3 | |
| Performance - Execution Speed | 1 | |
| Performance - Memory Usage | 1 | |
| Performance - Startup Time | 1 | |
| Tooling Quality | 3 | |
| Package Manager Quality | 2 | |
| IDE Support | 2 | |
| Debugging Experience | 2 | |
| GitHub Stars Rank | 179 | |
| Stack Overflow Tags Rank | 175 | |
| Average Salary Rank | 197 | |
| Job Postings Rank | 177 | |
| Benchmarks Rank | 196 | |
| Learning Curve Score | 9 | |
| Community Size Score | 2 | |
| AHP Score | 3.01 | 186 |
Παράδειγμα Hello World
log Hello, World!
Κύριες χρήσεις
- Data Science
- Scientific Computing
- Statistics
- Visualization
Δημοφιλή frameworks
- EViews Enterprise
Σκορ AHP
EViews Σκορ AHP: 3.01 (#186)