SSH-Stream 💻 ⇤⇥ ☁️
Stream sensor data over ssh for real-time offboard computation
Do you have SSH access to a remote cluster with precious compute power and want to run a policy in the range of 5 Hz that is resource intensive?
1. Connect to your cluster via SSH
Choose a local port you want to forward to a remote port, e.g. LOCAL_PORT = CLUSTER_PORT = 9999 and connect via ssh:
ssh -L LOCAL_PORT:localhost:CLUSTER_PORT user@cluster
2. Install the package and get your programs running
pip install ssh-stream
On the client (your robot @inference)
from ssh_stream import Client
client = Client(port=9999)
client.connect()
while True:
client.send("Hello World")
client.close()
On the cluster
from ssh_stream import Server
server = Server(ip='0.0.0.0', port=9999)
server.start()
1 maintainer
Metadata
1 maintainer
Release files for ssh-stream 0.0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ssh_stream-0.0.3.tar.gz | 4.8 kB | Without provenance | Details for ssh_stream-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ssh_stream-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for ssh_stream-0.0.3-py3-none-any.whl |
Total release size: 8.8 kB
Release files / ssh_stream-0.0.3.tar.gz
| Download URL | ssh_stream-0.0.3.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/5.1.1 CPython/3.9.20
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Release files / ssh_stream-0.0.3-py3-none-any.whl
| Download URL | ssh_stream-0.0.3-py3-none-any.whl |
|---|---|
| Size | 4.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
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Security for ssh-stream 0.0.3
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