![]() ![]() Whether you’re looking for an all-in-one internet security solution that can fully optimize (and protect) your system, or you just want a convenient and affordable standalone PC tune-up tool, I have you covered.īest PC cleanup & optimization tools in 2023: You’ll find a program that works great for you on this list. I also found a few good standalone PC cleaning programs, which would make great additions to any antivirus software you’ve already purchased. My conclusion is that the best tools for optimizing PCs come with antivirus suites - these suites include specialized system tune-up features as well as malware scanners, which can remove malware, adware, PUPs (potentially unwanted programs), and other bloatware that can really slow down a PC. I looked for programs that offer a variety of system cleanup and optimization tools, such as junk file and bloatware removal, software updaters, system speedup tools, gaming performance boosters, disk defragmentation, and more. I looked at all kinds of software, including antivirus suites with system optimization tools and standalone PC cleaners, to figure out which ones are best for improving a PC’s performance. I tested some of the most popular PC cleanup programs on the market. Get the best antivirus with PC cleanup and optimization tools at a 40% discount here. ![]() Avira also includes a top-quality antivirus scanner with real-time protection, a virtual private network (VPN) with no limitations, and an excellent password manager. An easy-to-use PC cleaner with some of the most advanced optimization tools on the market, including a game booster to enhance CPU performance. If you want something smaller and self-contained, write something with RRDTool.Short on time? Here’s the best PC cleaner in 2023: If you want something to easily graph almost anything, use munin. RRDTool uses a rolling-database system to store it's data, so the file will never get bigger than about 50-100KB, and it's consistently quick to graph as the file is a fixed length. The graph will get progressively slower to graph. Why? The log file will get bigger, and bigger, and bigger. I really really don't recommend you use something like this. That'll make a simple ascii graph of the disc usage. ![]() Line_length = int(round(normalised * 28)) # make a graph between 0 and 28 characters wide Normalised = base / (biggest - smallest) # normalise value between 0 and 1 Lines = īase = (cur_line - smallest) + 1 # make lowest value 1 import osĭisc_usage = os.system("df -h / | awk ''") If you want something really, really simple, you could do. Munin, MRTG and Cacti are basically all far-nicer-to-use systems based around this graphing tool. You could also write something similar using rrdtool. I would describe how it's setup, but the munin site will do that far better than I could! Once I got it installed (currently slightly difficult on OS X, but it's trivial on Linux/FreeBSD), I had written a plugin in a few minutes, and it worked, first time! I've set it up on my laptop to monitor disc-usage, bandwidth usage (by pulling data from my ISP's control panel, it graphs my two download "bins", uploads and newsgroup usage), load average and number of processes. And debugging the plugins is very easy (compared to MRTG) The plugin output format is basically disc1usage.value 1234. They can be written in almost anything (shell script, perl/python/ruby/etc, C, anything that can be execute and produce an output). Writing Munin plugins is very easy (it was one of the projects goals). sort of like MRTG (but MRTG is primarily aimed at graphing router's traffic, graphing anything but bandwidth with it is very hackish) It is designed for exactly this sort of thing - graphing CPU usage, memory usage, disc-usage and such. ![]()
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