Datalore vs GitHub Codespaces
Datalore
jetbrains.comGitHub Codespaces
github.comSide by side
| Figure | Datalore | GitHub Codespaces |
|---|---|---|
| Price from | $29.17/mo | $0.07/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 7 | 8 |
| Spec score · Coding Playgrounds | 9.3 (#5) | 8.9 (#14) |
| Founded | 2000 | 2008 |
| Free plan | Yes | Yes |
| Headquarters | Amsterdam, Netherlands | San Francisco, California, United States |
| Purpose | Datalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data. | Codespaces provides configured cloud development environments hosted by GitHub. |
| Self-hosting | On-Premises can run in a customer-controlled cloud, datacenter or hybrid environment using Docker or Kubernetes. | GitHub states that Codespaces cannot be self-hosted. |
Plans
Datalore
- Cloud FreeFree
- Cloud$35 a month
- Cloud FreeFree
- Cloud annual$29.17 a month
- Cloud$35 a month
- Cloud$350.04 a year
- On-PremisesPriced on request
GitHub Codespaces
- 2-core compute$0.18 a month
- 4-core compute$0.36 a month
- 8-core compute$0.72 a month
- 16-core compute$1.44 a month
- 32-core compute$2.88 a month
- Codespaces storage$0.07 a month
- GitHub Codespaces personal included usageFree
- GitHub Codespaces pay-as-you-go$0.18 a month
In their own words
Datalore
Datalore is a collaborative data science platform for exploring, analyzing, visualizing and sharing data. Its Jupyter-compatible notebooks provide coding assistance for Python, Kotlin, Scala and R, with native SQL cells that can transfer query results into pandas DataFrames. Teams can edit code together in real time and share notebooks with view or edit access. Notebooks can become data stories or static and interactive reports. Datalore AI can help write Python, SQL and R code, describe findings and fix errors. Database connections include Amazon Redshift, Azure SQL Database, MariaDB, MySQL, Oracle, PostgreSQL and Snowflake; AWS S3 and Google Cloud Storage buckets can be mounted as notebook folders. The free plan includes 120 CPU S machine hours and 10 GB of cloud storage. The Cloud plan costs $35 a month, billed monthly. On-Premises deployment runs on 64-bit Linux using Docker Compose or Kubernetes, but not on ARM, macOS or Windows hosts. JetBrains states that Datalore deployments are SOC 2 Type II certified and GDPR compliant.
GitHub Codespaces
GitHub Codespaces provides cloud development environments configured for a repository and hosted by GitHub. Repository dev container files can define a repeatable environment; users can start from a template or a branch or commit. Each codespace runs in a Docker container on a GitHub-hosted virtual machine, with machine choices from 2 cores, 8 GB RAM, and 32 GB storage to 32 cores, 128 GB RAM, and 128 GB storage. Connect through a browser, Visual Studio Code, or GitHub CLI from an internet-connected device, including an iPad. The Codespaces extension also connects a GitHub account to local Visual Studio Code. Each codespace has its own virtual machine and isolated network; connections use a TLS-encrypted tunnel and GitHub authentication, and forwarded ports are private by default. GitHub Free personal accounts include 120 compute hours and 15 GB-month of storage; Pro includes 180 hours and 20 GB-month. Usage is billed monthly, with 2-core compute at $0.18 a month and storage at $0.07 a month. Codespaces cannot be self-hosted and is unavailable for repositories owned by managed user accounts.