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KoboCollect

KoboCollect

KoboToolbox

Tools免费vv2025.3.3Android
Google Play
评分

4.2

10,459 条评分

星级

★★★★☆

最近更新

2025年12月30日

发布日期

2012年7月4日

更新内容

vv2025.3.3

* Improved barcode scanning using MLKit<br>* Additional Thai, Portuguese and Finnish translations<br>* New (and safer) Delete Project dialogue<br>* In-form audio player improvements

应用信息

开发者
KoboToolbox
分类
Tools
价格
免费
版本
v2025.3.3
安装量
5,000,000+
包名
org.koboc.collect.android

简介

KoboCollect is the free Android data entry app for use with KoboToolbox. It is based on the open source ODK Collect app and is used for primary data collection in humanitarian emergencies and other challenging field environments. With this app you enter data from interviews or other primary data -- online or offline. There are no limits on the number of forms, questions, or submissions (including photos and other media) that can be saved on your device. This app requires a free KoboToolbox account: Before you can collect data create a free account with your computer on www.kobotoolbox.org and create a blank form for data entry. Once your form is created and active, configure this app to point to your account, following the instructions in our tool. To visualize, analyze, share, and download your collected data just go back to your KoboToolbox account online. Advanced users can also install their own KoboToolbox instance on a local computer or server. KoboToolbox consists of several software tools to help you with your digital data collection. Together, these tools are used by thousands of humanitarians, development professionals, researchers, and private companies to design and implement primary data collection projects around the world. KoboCollect is based on ODK Collect, and is used by professionals wherever reliable and professional field data collection is needed. Visit www.kobotoolbox.org for more information and create your free account today.

下载量预测

专业 · 预览

预估总下载量

775K523K1.5M
保守估计乐观估计

3K

低 / 月

5K

预估 / 月

9K

高 / 月

基于10,459 条评分
假设评分率1.4%
应用年龄169 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。

竞品分析

同类别 · 排行榜
专业 · 预览
平均评分

竞品平均

4.4

你: 4.2

平均更新频率

竞品平均

12d

你: 137d

预估下载量

竞品平均

6.5M

你: 775K

下载数据为预估值 · 每6小时更新