NextDrop is a high-speed data pipeline capable of transferring large files efficiently, with a peak transfer rate allowing for 3GB of data to be received in under 10 seconds, making it a standout system for rapid file transfers.
Speed in Peak transfer rate (Latest): 3GB /5sec
8 Gbps(1 GB/s) in My Wi-fi
4.8 Gbps(0.6 GB/s) in My Wi-fi
2 Gbps(0.25 GB/s) in My Wi-fi
UDPDrop is In Development!!
To install NextDrop, ensure you have python33.7+ installed along with the required dependencies. Run the following command:
Library Version
pip3 install next-drop-libCommand-Line Version Requiments (main.py)
pip3 install kamu-jp-modern aiohttp tqdm zstandardGUI Version Requiments (NextDrop.py)
pip3 install kamu-jp-modern PyQt6 aiohttp tqdm zstandardNextDrop operates in two modes: sending and receiving. Below are the details for each mode.
import asyncio
from next_drop_lib import FileSender, FileReceiver, NextDropGeneral
import threading
import time
async def file_send_example():
await FileSender("localhost", port=4321, file_path="./test.txt").send_file()
async def file_receive_example():
await FileReceiver(port=4321, save_dir="./recived/").start_server()
await asyncio.sleep(5)
def start_server():
asyncio.run(file_receive_example())
if __name__ == '__main__':
# Start the server in a separate thread
threading.Thread(target=start_server).start()
# Start the file sender
asyncio.run(file_send_example())To send a file, use the following command:
python3nextdrop.py send <target_ip> --port <port> <file_path> [--threads <num_threads>]<target_ip>: IP address of the receiving server.--port <port>: Port on which the receiver is listening (default is4321).<file_path>: Path to the file you want to send.--threads <num_threads>: Number of threads to use (default is1).
python3nextdrop.py send 192.168.1.10 --port 4321 /path/to/file.zip --threads 4To start a receiver server, use the following command:
python3 nextdrop.py receive --port <port> <save_dir> [--compress]--port <port>: Port to listen on for incoming file transfers (default is4321).<save_dir>: Directory where received files will be saved.
python3 nextdrop.py receive --port 4321 /path/to/save --compress