Technology / Skill | Indeed Job Postings Count | SO Question Count | Score |
---|---|---|---|
Looker | 917 | 200 | 4.585 |
CI/CD | 7829 | 1751 | 4.471159338 |
Feature Store | 162 | 47 | 3.446808511 |
MLOps | 350 | 212 | 1.650943396 |
Splunk | 2446 | 2182 | 1.120989918 |
Tableau | 4579 | 5431 | 0.8431228135 |
Jira | 4694 | 5838 | 0.8040424803 |
ETL | 3740 | 5776 | 0.6475069252 |
Kubeflow | 167 | 411 | 0.4063260341 |
ELK | 382 | 1061 | 0.3600377003 |
Azure Synapse | 820 | 2389 | 0.3432398493 |
Databricks | 1768 | 6681 | 0.2646310433 |
NoSQL | 3445 | 13085 | 0.2632785632 |
Qlik | 190 | 727 | 0.2613480055 |
Athena | 691 | 3356 | 0.2058998808 |
Power BI | 3013 | 17648 | 0.1707275612 |
Scaled Agile | 197 | 1198 | 0.1644407346 |
Terraform | 2850 | 17361 | 0.1641610506 |
Redshift | 1256 | 8422 | 0.1491332225 |
GCP | 6433 | 45766 | 0.1405628633 |
Weights & Biases | 17 | 123 | 0.1382113821 |
Kubernetes | 7786 | 58128 | 0.1339457748 |
Azure | 16061 | 131769 | 0.1218875456 |
Presto | 367 | 3058 | 0.1200130804 |
Snowflake | 1271 | 10756 | 0.1181666047 |
MLFlow | 77 | 685 | 0.1124087591 |
Grafana | 534 | 5281 | 0.1011172126 |
AWS | 15358 | 152339 | 0.1008146305 |
Fargate | 153 | 1660 | 0.0921686747 |
Delta Lake | 99 | 1116 | 0.08870967742 |
Kafka | 2682 | 31157 | 0.0860801746 |
SPSS | 170 | 2065 | 0.08232445521 |
KNIME | 24 | 295 | 0.0813559322 |
ChatGPT | 80 | 1048 | 0.07633587786 |
Jenkins | 3648 | 50057 | 0.07287692031 |
AWS Glue | 319 | 4562 | 0.06992547128 |
DynamoDB | 847 | 13572 | 0.06240789861 |
LangChain | 10 | 169 | 0.05917159763 |
Airflow | 556 | 11104 | 0.05007204611 |
Docker | 6172 | 130476 | 0.04730371869 |
Git | 6914 | 148800 | 0.04646505376 |
SageMaker | 123 | 2706 | 0.04545454545 |
Talend | 111 | 2747 | 0.04040771751 |
AWS Lambda | 1197 | 29966 | 0.03994527131 |
Numba | 2 | 56 | 0.03571428571 |
Spark | 2571 | 80444 | 0.03196012133 |
SSAS | 174 | 5642 | 0.03084012761 |
Linux | 6852 | 224782 | 0.03048286785 |
Hive | 813 | 26761 | 0.03038003064 |
Kibana | 191 | 6330 | 0.03017377567 |
SQL | 19125 | 661356 | 0.02891785967 |
Typescript | 6143 | 216321 | 0.02839761281 |
Cassandra | 496 | 20475 | 0.02422466422 |
HuggingFace | 9 | 392 | 0.02295918367 |
Hadoop | 1013 | 44259 | 0.02288800018 |
BERT | 40 | 1769 | 0.022611645 |
SSRS | 572 | 25508 | 0.02242433746 |
Spring | 4367 | 207766 | 0.0210188385 |
AutoML | 9 | 429 | 0.02097902098 |
Apache NiFi | 96 | 4955 | 0.01937436932 |
React | 8835 | 457854 | 0.01929654431 |
HBase | 128 | 6962 | 0.0183855214 |
SQL Server | 5852 | 330195 | 0.01772286073 |
MXNet | 12 | 698 | 0.01719197708 |
Elasticsearch | 936 | 57611 | 0.01624689729 |
XGBoost | 43 | 2758 | 0.01559100798 |
FastAPI | 77 | 5172 | 0.0148878577 |
Pytorch | 285 | 21739 | 0.01311007866 |
LDA | 14 | 1180 | 0.01186440678 |
Spring Boot | 1537 | 139851 | 0.01099026821 |
Scala | 1200 | 111482 | 0.01076406954 |
Node.js | 4971 | 463077 | 0.01073471582 |
Golang | 707 | 69246 | 0.01020997603 |
Solr | 207 | 20510 | 0.01009263774 |
PyCaret | 2 | 218 | 0.009174311927 |
Groovy | 268 | 29700 | 0.009023569024 |
Hugging Face | 23 | 2552 | 0.009012539185 |
Flask | 477 | 53113 | 0.008980852145 |
Kotlin | 741 | 88456 | 0.008377046215 |
R | 3866 | 490625 | 0.007879745223 |
PostgreSQL | 1325 | 169856 | 0.00780072532 |
Lucene | 93 | 11993 | 0.007754523472 |
Python | 16571 | 2140113 | 0.007743049082 |
Snakemake | 12 | 1581 | 0.007590132827 |
Giraph | 1 | 155 | 0.006451612903 |
Spacy | 22 | 3677 | 0.005983138428 |
Javascript | 13411 | 2496992 | 0.005370862221 |
Ruby | 1073 | 227956 | 0.004707048729 |
Tensorflow | 382 | 81984 | 0.004659445746 |
C++ | 3540 | 794543 | 0.004455391338 |
MySQL | 2877 | 660236 | 0.004357532761 |
PySpark | 154 | 38196 | 0.004031835794 |
Apache Beam | 18 | 4584 | 0.003926701571 |
PyTorch Lightning | 2 | 520 | 0.003846153846 |
Apache SuperSet | 4 | 1124 | 0.003558718861 |
Neo4j | 79 | 22557 | 0.003502238773 |
Scipy | 66 | 20948 | 0.003150658774 |
PrestoDB | 9 | 3058 | 0.002943100065 |
Gensim | 7 | 2428 | 0.002883031301 |
NLTK | 19 | 7121 | 0.002668164584 |
Keras | 111 | 42080 | 0.0026378327 |
Plotly | 39 | 14827 | 0.002630336548 |
Numpy | 221 | 111409 | 0.001983681749 |
Numpy | 221 | 111438 | 0.001983165527 |
Watchdog | 1 | 550 | 0.001818181818 |
Seaborn | 16 | 9364 | 0.001708671508 |
Pandas | 475 | 279626 | 0.001698697546 |
Weka | 5 | 3031 | 0.001649620587 |
Django | 487 | 307012 | 0.001586257215 |
Matplotlib | 91 | 70876 | 0.001283932502 |
Clojure | 21 | 17573 | 0.00119501508 |
MLib | 2 | 2235 | 0.0008948545861 |
OpenCV | 43 | 72153 | 0.0005959558161 |
NetworkX | 1 | 5924 | 0.0001688048616 |
Last active
May 31, 2023 21:06
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This table provides information on various technologies or skills, including their job postings count on Indeed, Stack Overflow question count, and the corresponding score. The score is calculated by dividing the job postings count by the question count, indicating the relative popularity or demand of each technology or skill.
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