DataHaven.NET - distributed storage network.
This is a distributed network for backup data storage. Each participant of the network provides a portion of his hard drive for other users. In exchange, he is able to store his data on other peers.
The redundancy in backup makes it so if someone loses your data, you can rebuild what was lost and give it to someone else to hold. And all of this happens without you having to do a thing - the software keeps your data in safe.
All your data is encrypted before it leaves your computer with a private key your computer generates. No one else can read your data, even DataHaven.NET! Recover data is only one way - download the necessary pieces from computers of other peers and decrypt them with your private key.
DataHaven.NET is written in Python using pure Twisted framework.
Metadata
Release files for datahaven rev8784
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| datahaven-rev8784.tar.gz | 1.3 MB | Without provenance | Details |
Release files / datahaven-rev8784.tar.gz
| Download URL | datahaven-rev8784.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2f02e1e8efb47cc654dc4d7bdd7296fe77a2cd9461386a1ae79dab199c8bd5e5
|
|
BLAKE2b-256 checksum How to use checksums |
c3105eb54ddcffbbde50a88277afae7d4c152c0c329b741d77b97b7bfc88a327
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for datahaven rev8784
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.