原生模块os可以给予一些内存和cpu使用统计信息。

var os = require('os');

console.log(os.cpus());
console.log(os.totalmem());
console.log(os.freemem())

cpus（）函数给你一个平均值，但是你可以通过使用一个公式和一个区间来计算当前的使用情况，就像this答案中提到的那样。
还有一个包可以为您完成此任务，称为os-utils。
从github上的例子中可以看出：

var os = require('os-utils');

os.cpuUsage(function(v){
    console.log( 'CPU Usage (%): ' + v );
});

有关磁盘的信息，可以使用diskspace

检查node-os-utils

• CPU平均使用率
• 可用和已用驱动器空间
• 可用和已用内存空间
• 作业系统
• 所有进程正在运行
• TTY/SSH已打开
• 打开的文件总数
• 网络速度（输入和输出）

var osu = require('node-os-utils')

var cpu = osu.cpu

cpu.usage()
  .then(info => {
    console.log(info)
  })

由于我没有找到解决这个问题的代码，也不想仅仅依靠其他软件包来获得一些代码行，所以我编写了一个函数来计算两个连续函数调用之间的平均CPU负载。我假设t_idle + t_user + t_sys = total cpu time，结果与我的Windows任务管理器类似，但是，用法对我来说似乎更敏感一些（eidogg.音乐播放增加的cpu负载比在Windows任务管理器中更多）。如果我的假设是错误的，请纠正我。

const os = require('os');

// Initial value; wait at little amount of time before making a measurement.
let timesBefore = os.cpus().map(c => c.times);

// Call this function periodically e.g. using setInterval, 
function getAverageUsage() {
    let timesAfter = os.cpus().map(c => c.times);
    let timeDeltas = timesAfter.map((t, i) => ({
        user: t.user - timesBefore[i].user,
        sys: t.sys - timesBefore[i].sys,
        idle: t.idle - timesBefore[i].idle
    }));

    timesBefore = timesAfter;

    return timeDeltas
        .map(times => 1 - times.idle / (times.user + times.sys + times.idle))
        .reduce((l1, l2) => l1 + l2) / timeDeltas.length;
}

您也可以使用process.cpuUsage()返回系统和用户的cpu时间（以微秒为单位），它还可以计算与上一次调用的时间差。
https://nodejs.org/api/process.html#process_process_cpuusage_previousvalue

Node.js具有os.loadavg()方法

// Require os module
const os = require('os');

// Printing os.loadavg() value
var avg_load = os.loadavg();

console.log("Load average (1 minute):"
            + String(avg_load[0]));

console.log("Load average (5 minute):"
            + String(avg_load[1]));

console.log("Load average (15 minute):"
            + String(avg_load[2]));

更多信息here

async function getinfo() {
 const cpu = await si.cpu();
 const disk = (await si.diskLayout())[0];
 const os = await si.osInfo();
 const versions = await si.versions();
 const ram = await si.mem();

 // CPU Info
 let info = `CPU: ${cpu.manufacturer} ${cpu.brand} ${cpu.speed}GHz\n`;
 info += `Cores: ${cpu.cores} (${cpu.physicalCores} Physical)\n`;

 // RAM Info
 const totalRam = Math.round(ram.total / 1024 / 1024 / 1024);
 info += `RAM: ${totalRam}GB\n`;

 // Disk Info
 const size = Math.round(disk.size / 1024 / 1024 / 1024);
 info += `Disk: ${disk.vendor} ${disk.name} ${size}GB ${disk.type} (${disk.interfaceType})\n`;

 //OS Info
 info += `OS: ${os.distro} ${os.codename} (${os.platform})\n`;
 info += `Kernel: ${os.kernel} ${os.arch}\n`;

 // Node Info
 info += `Node: v${versions.node}\n`;
 info += `V8: ${versions.v8}`;
 return info;
}

当然，这是可能的。但是你需要一个C++原生模块来实现。记住，每个操作系统都有自己的查询系统资源使用情况的方式。
例如，如果您使用的是Windows（这可能正是您所需要的，因为usage不支持Windows），您可以执行以下操作
performance.cpp

#include <node.h>
#include "performance_algorithm.hpp"

using namespace v8;

void InitAll(Handle<Object> exports) {
    PerformanceAlgorithm::Initialize();
    PerformanceAlgorithm::RegisterMethod(exports);
}

NODE_MODULE(Performance, InitAll)

performance_algorithm.cpp

#include <algorithm>

#include "baton.hpp"
#include "structs.hpp"
#include "performance_algorithm.hpp"

void PerformanceAlgorithm::Initialize() {
    PdhOpenQuery(NULL, NULL, &cpuQuery);
    PdhAddCounter(cpuQuery, "\\Processor(_Total)\\% Processor Time", NULL, &cpuTotal);
    PdhCollectQueryData(cpuQuery);
}

void PerformanceAlgorithm::RegisterMethod(Handle<Object> exports) {
    NODE_SET_METHOD(exports, "getPerformanceData", PerformanceAlgorithm::GetPerformanceDataAsync);
}

void PerformanceAlgorithm::GetPerformanceDataAsync(const FunctionCallbackInfo<Value>& args) {
    Isolate* isolate = Isolate::GetCurrent();
    HandleScope scope(isolate);

    if (args.Length() != 1) {
        isolate->ThrowException(Exception::TypeError(String::NewFromUtf8(isolate, "Wrong number of arguments")));
    } else {
        if (!args[0]->IsFunction()) {
            isolate->ThrowException(Exception::TypeError(String::NewFromUtf8(isolate, "Wrong arguments type")));
        } else {
            Local<Function> callbackFunction = Local<Function>::Cast(args[0]);

            Baton<string, PerformanceData>* baton = new Baton<string, PerformanceData>();
            baton->request.data = baton;
            baton->callbackFunction.Reset(isolate, callbackFunction);

            uv_queue_work(uv_default_loop(), &baton->request, PerformanceAlgorithm::GetPerformanceDataWork, PerformanceAlgorithm::GetPerformanceDataAsyncAfter);
        }
    }
}

void PerformanceAlgorithm::GetPerformanceDataWork(uv_work_t* request) {
    Baton<string, PerformanceData>* baton = static_cast<Baton<string, PerformanceData>*>(request->data);

    baton->result.memory_info.dwLength = sizeof(MEMORYSTATUSEX);
    GlobalMemoryStatusEx(&baton->result.memory_info);

    PDH_FMT_COUNTERVALUE counterVal;
    PdhCollectQueryData(cpuQuery);
    PdhGetFormattedCounterValue(cpuTotal, PDH_FMT_DOUBLE, NULL, &counterVal);
    baton->result.cpu_usage = counterVal.doubleValue;

    DWORD processIDs[1024], bytesReturned;
    EnumProcesses(processIDs, sizeof(processIDs), &bytesReturned);

    DWORD numberOfProcesses = bytesReturned / sizeof(DWORD);
    for (int i = 0; i < numberOfProcesses; i++) {
        HANDLE hProcess = OpenProcess(PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, FALSE, processIDs[i]);

        HMODULE hMods[1024];
        DWORD cbNeeded;
        if (EnumProcessModules(hProcess, hMods, sizeof(hMods), &cbNeeded)) {
            for (int j = 0; j < (cbNeeded / sizeof(HMODULE)); j++) {
                TCHAR szModName[MAX_PATH];
                GetModuleFileNameEx(hProcess, hMods[j], szModName, sizeof(szModName) / sizeof(TCHAR));

                ProcessInfo info;
                info.process_id = processIDs[i];
                info.path = string(szModName);

                baton->result.processes.push_back(info);

                break;
            }
        }

        CloseHandle(hProcess);
    }

    sort(baton->result.processes.begin(), baton->result.processes.end(), [](ProcessInfo a, ProcessInfo b) -> bool {
        return a.process_id < b.process_id;
    });

    GetPerformanceInfo(&baton->result.performance_info, sizeof(PERFORMACE_INFORMATION));
}

void PerformanceAlgorithm::GetPerformanceDataAsyncAfter(uv_work_t* request, int status) {
    Isolate* isolate = Isolate::GetCurrent();
    HandleScope scope(isolate);
    EscapableHandleScope escapableHandleScope(isolate);

    Baton<string, PerformanceData>* baton = static_cast<Baton<string, PerformanceData>*>(request->data);
    Local<Function> callbackFunction = Local<Function>::New(isolate, baton->callbackFunction);

    Local<Object> returnValue = Object::New(isolate);
    returnValue->Set(String::NewFromUtf8(isolate, "cpu_usage"), Number::New(isolate, baton->result.cpu_usage));
    returnValue->Set(String::NewFromUtf8(isolate, "ram_usage"), Number::New(isolate, baton->result.memory_info.dwMemoryLoad));
    returnValue->Set(String::NewFromUtf8(isolate, "total_physical_memory"), Number::New(isolate, baton->result.memory_info.ullTotalPhys));
    returnValue->Set(String::NewFromUtf8(isolate, "available_physical_memory"), Number::New(isolate, baton->result.memory_info.ullAvailPhys));
    returnValue->Set(String::NewFromUtf8(isolate, "total_page_file"), Number::New(isolate, baton->result.memory_info.ullTotalPageFile));
    returnValue->Set(String::NewFromUtf8(isolate, "available_page_file"), Number::New(isolate, baton->result.memory_info.ullAvailPageFile));
    returnValue->Set(String::NewFromUtf8(isolate, "total_virtual"), Number::New(isolate, baton->result.memory_info.ullTotalVirtual));
    returnValue->Set(String::NewFromUtf8(isolate, "available_virtual"), Number::New(isolate, baton->result.memory_info.ullAvailVirtual));

    Local<Array> processes = Array::New(isolate, baton->result.processes.size());
    for (int i = 0; i < baton->result.processes.size(); i++) {
        Local<Object> processInfo = Object::New(isolate);
        processInfo->Set(String::NewFromUtf8(isolate, "process_id"), Number::New(isolate, baton->result.processes[i].process_id));
        processInfo->Set(String::NewFromUtf8(isolate, "path"), String::NewFromUtf8(isolate, baton->result.processes[i].path.c_str()));

        processes->Set(i, processInfo);
    }
    returnValue->Set(String::NewFromUtf8(isolate, "running_processes"), processes);

    const unsigned int argc = 1;
    Handle<Value> argv[argc] = { escapableHandleScope.Escape(returnValue) };
    callbackFunction->Call(isolate->GetCurrentContext()->Global(), argc, argv);

    baton->callbackFunction.Reset();
    delete baton;
}