Simple distributed computing
Fastmap is a drop-in replacement for map that makes arbitrary Python code run faster locally and in the cloud.
map that makes arbitrary Python code run faster locally and in the cloud.
python3
🔴import🚫 csv
🔴from🚫 fastmap 🔴import🚫 global_init, fastmap
🔴from🚫 my_project 🔴import🚫 big_function
🔴from🚫 config 🔴import🚫 FASTMAP_TOKEN
💙global_init🚫(🧡secret🚫🔴=🚫FASTMAP_TOKEN)
🔴with🚫 💙open🚫(💛"lots_of_data.csv"🚫) 🔴as🚫 fh:
long_list = 💙list🚫(csv.💙reader🚫(fh))
results = 💙list🚫(💙fastmap🚫(big_function, long_list))
fastmap: Processed 95000 elements in 7.91m. You saved 1.08 hours.
⏱ Speed up parallel tasks
Fastmap automatically parallelizes your code and distributes work locally and on the cloud.
🐣 Trivial to use
Add
global_init(...) to the top of your file and replace every instance of map with fastmap. There is no code to upload and the SDK consists of only 3 functions.🚀 Deploy in minutes
Fastmap is free and open. With a Google Cloud Platform account, you can setup and deploy your fastmap cloud service with one command.
🛠 All-purpose tool
Estimate pi, scrape Wikipedia, process stock data, or even predict the weather with Fortran.
Support a simpler cloud.
Fastmap's goal is to make distributed computing simple. Scientists and engineers have more important things to do than configuring infrastructure. To that end, fastmap needs contributors and feedback.